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The purpose of this document is to provide experience-based guidance in implementing a software process improvement program in any Нажмите чтобы перейти software development or maintenance community. A typical laser-plasma interaction experiment at the Nova laser facility produces in excess tialy 20 megabytes of digitized data. The objective is приведу ссылку create a fundamentally new windows 10 1703 download iso italy vsp system of the University using the results educational data analysis. When the incident laser radiation hits the object to detect, then the radiation is reflected. Software process in Geant4. The software consists of two major components: a record processing engine composed of modules for each processing step, and a review tool, which is a graphical user interface for manual review, edit, and processing. Therefore, it is important wkndows have the software which would accurately and clearly provide the user with processed data in the downloxd of well logs.❿
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The last one or two decades commitment to prescriptive approaches in software process improvement theory may contribute to the emergence of a gulf dividing theorists and practitioners It is proposed that this divide be met by the development of theory evaluating prescriptive approaches and informing practice with a focus on the software process policymaking and process control aspects of improvement efforts Laser scanner data processing and 3D modeling using a free and open source software.
The laser scanning is a technology that allows in a short time to run the relief geometric objects with a high level of detail and completeness, based on the signal emitted by the laser and the corresponding return signal. When the incident laser radiation hits the object to detect, then the radiation is reflected.
When the laser scanner is equipped with a digital camera, the result of the measurement process is a set of points in XYZ coordinates showing a high density and accuracy with radiometric and RGB tones. Even the post- processing is usually performed by closed source software , which is characterized by Copyright restricting the free use, free and open source software can increase the performance by far.
Indeed, this latter can be freely used providing the possibility to display and even custom the source code. The experience started at the Faculty of Engineering in Catania is aimed at finding a valuable free and open source tool, MeshLab Italian Software for data processing , to be compared with a reference closed source software for data processing , i.
In this work, we compare the results obtained with MeshLab and Rapidform through the planning of the survey and the acquisition of the point cloud of a morphologically complex statue.
Gabriele, Fatuzzo [Dept. Hintzen, N. Analyses start with standardized data formats for logbook. A software library for parsing and manipulating frequency-domain data files that have been processed using the Bruker TopSpin NMR software package. The developed software allows one to accept, record and distribute to consumers up to 3 Mbytes of data in one accelerator supercycle of The developed software allows one to accept, record and distribute up to 3 Mbytes of data to consumers in one accelerator supercycle of The described system is successfully in use in the experiment since its startup in Next generation software process improvement.
Approved for public release; distribution is unlimited Software is often developed under a process that can at best be described as ad hoc.
While it is possible to develop quality software under an ad hoc process , formal processes can be developed to help increase the overall quality of the software under development.
The application of these processes allows for an organization to mature. The software maturity level, and process improvement, of an organization can be measured with the Cap It will have the capabilities of the current system as well as incorporate new models and data analysis techniques. In this paper we give a conceptual overview of the new software. We formulate the main goals of the software. The software should be flexible and modular to implement models and estimation techniques that currently exist or will appear in future.
On the other hand it should be reliable and possess production quality for processing standard VLBI sessions. Also, it needs to be capable of processing observations from a fully deployed network of VLBI stations in a reasonable time. We describe the software development process and outline the software architecture. New analysis software for Viking Lander meteorological data.
Full Text Available We have developed a set of tools that enable us to process Viking Lander meteorological data beyond what has been previously publicly available. Besides providing data for new periods of time, the existing data periods have been augmented by enhancing the data resolution significantly. This was accomplished by first transferring the original Prime computer version of the data analysis software to a standard Linux platform, and then by modifying the software to be able to process the data despite irregularities in the original raw data and reverse engineering various parameter files.
In addition to this, the processing pipeline has been streamlined, making processing the data faster and easier. As a case example of new data , freshly processed Viking Lander 1 and 2 temperature records are described and briefly analyzed in ways that have not been previously possible due to the lack of data.
Managing Software Process Evolution. This book focuses on the design, development, management, governance and application of evolving software processes that are aligned with changing business objectives, such as expansion to new domains or shifting to global production.
In the context of an evolving business world, it examines In doing so, it addresses difficult problems, such as how to implement processes in highly regulated domains or where to find a suitable notation system for documenting processes , and provides And last but not least, it provides a wealth of examples and cases on how to deal with software evolution in practice.
Reflecting these topics, the book is divided into three parts. Part 1 focuses on software business transformation The purpose of this paper is to outline how EBR-II engineering approached the data acquisition system DAS software conversion project with the restraints of operational transparency and six weeks for final implementation and testing.
Software engineering is a relatively new discipline that provides a structured philosopy for software conversion. The software life cycle is structured into six basic steps: 1 initiation, 2 requirements definition, 3 design, 4 programming, 5 testing, and 6 operations.
These steps are loosely defined and can be altered to fit specific software applications. DAS software is encompassed from three sources: 1 custom software , 2 system software , and 3 in-house application software. A data flow structure is used to describe the DAS software. The categories are: 1 software used to bring signals into the central processer , 2 software that transforms the analog data to engineering units and then logs the data in the data store, and 3 software used to transport and display the data.
The focus of this paper is to describe how the conversion team used a structured engineering approach and utilized the resources available to produce a quality system on time. Although successful, the conversion process provided some pit falls and stumbling blocks. Process -based software project management. Not connecting software project management SPM to actual, real-world development processes can lead to a complete divorcing of SPM to software engineering that can undermine any successful software project.
By explaining how a layered process architectural model improves operational efficiency, Process -Based Software Project Management outlines a new method that is more effective than the traditional method when dealing with SPM. With a clear and easy-to-read approach, the book discusses the benefits of an integrated project management- process management connection.
The described tight coup. Big data and software defined networks. This new book investigates areas where Big- Data and SDN can help each other in delivering more efficient services. A convergence between astronomy science and digital photography has enabled a steady stream of visually rich imagery from state-of-the-art data. The accessibility of hardware and software has facilitated an explosion of astronomical images for outreach, from space-based observatories, ground-based professional facilities and among the vibrant amateur astrophotography community.
Some additional effort is needed to close the loop and enable this imagery to be conveniently available for various purposes beyond web and print publication. The metadata paradigms in digital photography are now complying with FITS and science software to carry information such as keyword tags and world coordinates, enabling these images to be usable in more sophisticated, imaginative ways exemplified by Sky in Google Earth and World Wide Telescope.
Lavin, Milton L. A JPL-created set of standard processes is to be used throughout the lifecycle of software development. These SDSPs cover a range of activities, from management and engineering activities, to assurance and support activities. These processes must be applied to software tasks per a prescribed set of procedures. These practices include not only currently performed best practices, but also JPL-desired future practices in key thrust areas like software architecting and software reuse analysis.
Software Process Improvement: Blueprints versus Recipes. Viewing software processes as blueprints emphasizes that design is separate from use, and thus that software process designers and users are independent.
In the approach presented here, software processes are viewed as recipes; developers individually and collectively design their own software Program software for the automated processing of gravity and magnetic survey data for the Mir computer. A presentation is made of the content of program software for the automated processing of gravity and magnetic survey data for the small Mir-1 and Mir-2 computers as worked out on the Voronezh geophysical expedition. Hydra’s software architecture tolerates flexible data analysis procedures by allowing the addition of new algorithms without significant change to the underlying code base.
Convenient user interfaces ease the organization of raw data files and input of peptide data. After executing a user-defined workflow, extracted deuterium incorporation values can be visualized in tabular and graphical formats. Hydra also automates the extraction and visualization of deuterium distribution values. Manual validation and assessment of results is aided by an interface that aligns extracted ion chromatograms and mass spectra, while providing a means of rapidly reprocessing the data following manual adjustment.
A unique feature of Hydra is the automated processing of tandem mass spectrometry data , demonstrated on a large test data set in which 40, deuterium incorporation values were extracted from replicate analysis of approximately fragment ions in one hour using a typical PC. This increased. Model-based software process improvement.
The activities of a field test site for the Software Engineering Institute’s software process definition project are discussed.
Products tested included the improvement model itself, descriptive modeling techniques, the CMM level 2 framework document, and the use of process definition guidelines and templates. The software process improvement model represents a five stage cyclic approach for organizational process improvement. The cycles consist of the initiating, diagnosing, establishing, acting, and leveraging phases.
The year is rapidly approaching, and there is a good chance that computer systems that utilize two digit year dates will experience problems in retrieval of date information. A software package for biomedical image processing and analysis.
The decreasing cost of computing power and the introduction of low cost imaging boards justifies the increasing number of applications of digital image processing techniques in the area of biomedicine. There is however a large software gap to be fulfilled, between the application and the equipment. The requirements to bridge this gap are twofold: good knowledge of the hardware provided and its interface to the host computer, and expertise in digital image processing and analysis techniques.
A software package incorporating these two requirements was developed using the C programming language, in order to create a user friendly image processing programming environment. The software package can be considered in two different ways: as a data structure adapted to image processing and analysis, which acts as the backbone and the standard of communication for all the software ; and as a set of routines implementing the basic algorithms used in image processing and analysis.
Hardware dependency is restricted to a single module upon which all hardware calls are based. The data structure that was built has four main features: hierchical, open, object oriented, and object dependent dimensions. Considering the vast amount of memory needed by imaging applications and the memory available in small imaging systems, an effective image memory management scheme was implemented.
This software package is being used for more than one and a half years by users with different applications. It proved to be an excellent tool for helping people to get adapted into the system, and for standardizing and exchanging software , yet preserving flexibility allowing for users’ specific implementations.
The philosophy of the software package is discussed and the data structure that was built is described in detail. Full Text Available Abstract – Rekomender electoral system is a database software application that can be used to look for alternative software database selection strategy, the method of analytical hierarchy process AHP.
Rekomender systems needed by companies that have a large enough data processing such as the Bureau of Bina Sarana IT Information, expensive investments in the provision of Information Technology IT makes IT Bina Sarana Information Bureau to be more careful in determining the selection of database software.
This study focuses on research of database software selection system with the method of analytical hierarchy process AHP, a case study of IT Bureau Bina Sarana Infromatika with the observation unit administrator. The results of the study found that there are two 2 main criteria, namely the selection of technology and a user with an alternative strategy My SQL, Oracle and SQL Server.
The end result of a system that has been created rekomender concluded that the Bureau of Bina Sarana Informatics IT can define strategy alternatives before determining database software to be used more effectively and efficiently. Sistem rekomender dibutuhkan oleh perusahaan yang memiliki pengolahan data yang cukup besar seperti Biro TI Bina Sarana Informatika, mahalnya investasi pada penyediaan Teknologi Informasi TI membuat Biro TI Bina Sarana Informatika lebih berhati-hati dalam menentukan pemilihan database software.
Penelitian ini berfokus kepada penetilian tentang sistem pemilihan database sofware dengan metode analytical hierarchy process AHP, studi kasus Biro TI Bina Sarana. Electroenchephalography EEG recordings collected with developmental populations present particular challenges from a data processing perspective. These EEGs have a high degree of artifact contamination and often short recording lengths.
As both sample sizes and EEG channel densities increase, traditional processing approaches like manual data rejection are becoming unsustainable. Moreover, such subjective approaches preclude standardized metrics of data quality, despite the heightened importance of such measures for EEGs with high rates of initial artifact contamination. There is presently a paucity of automated resources for processing these EEG data and no consistent reporting of data quality measures.
To address these challenges, we propose the Harvard Automated Processing Pipeline for EEG HAPPE as a standardized, automated pipeline compatible with EEG recordings of variable lengths and artifact contamination levels, including high-artifact and short EEG recordings from young children or those with neurodevelopmental disorders.
HAPPE processes event-related and resting-state EEG data from raw files through a series of filtering, artifact rejection, and re-referencing steps to processed EEG suitable for time-frequency-domain analyses.
HAPPE also includes a post- processing report of data quality metrics to facilitate the evaluation and reporting of data quality in a standardized manner. HAPPE removes more artifact than all alternative approaches while simultaneously preserving greater or equivalent amounts of EEG signal in almost all instances.
Full Text Available Electroenchephalography EEG recordings collected with developmental populations present particular challenges from a data processing perspective. Entropy based software processes improvement. Actual results of software process improvement projects show different levels of success.
Although many software development organisations have adopted improvement models such as CMMI, it appears to be difficult to improve software development processes in the right way, e.
Well logging data processing is one of the main sources of information in the oil-gas field analysis and is of great importance in the process of its development and operation. Therefore, it is important to have the software which would accurately and clearly provide the user with processed data in the form of well logs.
In this work, there have been developed a software product which not only has the basic functionality for this task loading data from. In the article a subject field analysis and task formulation have been performed, and the software design stage has been considered.
At the end of the work the resulting software product interface has been described. Software process in Geant4. Since its erliest years of R and D, the GEANT4 simulation toolkit has been developed following software process standards which dictated the overall evolution of the project. The complexity of the software involved, the wide areas of application of the software product, the huge amount of code and Category complexity, the size and distributed nature of the Collaboration itself are all ingredients which involve and correlate together a wide variety of software processes.
Although in ‘production’ and available to the public since December , the GEANT4 software product includes Category Domains which are still under active development. Therefore they require different treatment also in terms of improvement of the development cycle, system testing and user support.
The author is meant to describe some of the software processes as they are applied in GEANT4 for both development, testing and maintenance of the software. Goodale, C. At NASA’s Jet Propulsion Laboratory free and open source software is used everyday to support a wide range of projects, from planetary to climate to research and development.
In this abstract I will discuss the key role that open source software has played in building a robust science data processing pipeline for snow hydrology research, and how the system is also able to leverage programs written in IDL, making JPL’s Snow Data System a hybrid of open source and proprietary software.
Main Points: – The Design of the Snow Data System illustrate how the collection of sub-systems are combined to create a complete data processing pipeline – Discuss the Challenges of moving from a single algorithm on a laptop, to running ‘s of parallel algorithms on a cluster of servers lesson’s learned – Code changes – Software license related challenges – Storage Requirements – System Evolution from data archiving, to data processing , to data on a map, to near-real-time products and maps – Road map for the next 6 months including how easily we re-used the snowDS code base to support the Airborne Snow Observatory Mission Software in Use and their Software Licenses: IDL – Used for pre and post processing of data.
Licensed under a proprietary software license held by Excelis. Licensed under the Apache License Version 2. Licensed under the General Public License Version 2. Licensed under the Berkeley Software Distribution License.
Python – Glue code and miscellaneous data processing support. Licensed under the Python Software Foundation License. Licensed under the General Public License Version 3. PHP – Front-end web application programming. Given the importance of the atmospheric aerosol, the number of instruments and measurement networks which focus on its characterization are growing. Many challenges are derived from standardization of protocols, monitoring of the instrument status to evaluate the network data quality and manipulation and distribution of large volume of data raw and processed.
Thanks to the use of advanced tools, this facility has been able to analyze a growing number of stations and data in real time, which greatly benefits the network management and data quality control. Data processing. Data Processing discusses the principles, practices, and associated tools in data processing. The book is comprised of 17 chapters that are organized into three parts.
The first part covers the characteristics, systems, and methods of data processing. Part 2 deals with the data processing practice; this part discusses the data input, output, and storage. The last part discusses topics related to systems and software in data processing , which include checks and controls, computer language and programs, and program elements and structures.
The text will be useful to practitioners of computer-rel. Full Text Available A recent technology investigates the role of concern in the environment software that is green software system. Now it is widely accepted that the green software can fit all process of software development.
It is also suitable for the requirement elicitation process. Now a days software companies have used requirements elicitation techniques in an enormous majority. Because this process plays more and more important roles in software development.
At the present time most of the requirements elicitation process is improved by using some techniques and tools. So that the intention of this research suggests to adapt green software engineering for the intention of existing elicitation technique and recommend suitable actions for improvement. This research being involved qualitative data. Find out articles which published in until Finding from the literature review Identify 15 traditional requirement elicitations factors and 23 improvement techniques to convert green engineering.
Lastly The paper includes a squat review of the literature a description of the grounded theory and some of the identity issues related finding of the necessity for requirements elicitation improvement techniques. Software process improvement in the NASA software engineering laboratory. The concept of process improvement within the SEL focuses on the continual understanding of both process and product as well as goal-driven experimentation and analysis of process change within a production environment.
These systems will survey the sky repeatedly and will generate petabytes of image data and catalogs of billions of stars and galaxies. Each set of images will be combined to create a very sensitive multicolor image of the sky, and differences between images will provide for a massive database of ‘time domain astronomy’ including the study of moving objects and transient or variable objects.
All data from PS1 will be put into the public domain following its 3. The project faces formidable challenges in processing the image data in near real time and making the catalog data accessible via relational databases. In this talk, I describe the software systems developed by the Pan-STARRS project and how these core systems will be augmented by an assortment of science ‘servers’ being developed by astronomers in the PS1 Science Consortium.
The SEL was established in with the goals of reducing: 1 the defect rate of delivered software , 2 the cost of software to support flight projects, and 3 the average time to produce mission-support software. After studying over projects of FDD, the results have guided the standards, management practices, technologies, and the training within the division.
The results of the studies have been a 75 percent reduction in defects, a 50 percent reduction in cost, and a 25 percent reduction in development time. Over time the goals of SEL have been clarified. The goals are now stated as: 1 Understand baseline processes and product characteristics, 2 Assess improvements that have been incorporated into the development projects, 3 Package and infuse improvements into the standard SEL process. The SEL improvement goal is to demonstrate continual improvement of the software process by carrying out analysis, measurement and feedback to projects with in the FDD environment.
The SEL supports the understanding of the process by study of several processes including, the effort distribution, and error detection rates. The SEL assesses and refines the processes. Once the assessment and refinement of a process is completed, the SEL packages the process by capturing the process in standards, tools and training. Software quality testing process analysis. Introduction: This article is the result of reading, review, analysis of books, magazines and articles well known for their scientific and research quality, which have addressed the software quality testing process.
The author, based on his work experience in software development companies, teaching and other areas, has compiled and selected information to argue and substantiate the importance of the software quality testing process. Methodology: the existing literature on the software qualit Technologies of data mining which can be useful for students researches have been considered. The main tools of these technologies have been discussed. Zhang, Y.
Students of diverse academic backgrounds take introductory geophysics courses to learn the theory of a variety of measurement and analysis methods with the expectation to be able to apply their basic knowledge to real data. Ideally, such data is collected in field courses and also used in lecture-based courses because they provide a critical context for better learning and understanding of geophysical methods.
Each method requires a separate software package for the data processing steps, and the complexity and variety of professional software makes the path through data processing to data interpretation a strenuous learning process for students and a challenging teaching task for instructors.
SIGKit Student Investigation of Geophysics Toolkit being developed as a collaboration between the University of South Florida, the University of Toronto, and MathWorks intends to address these shortcomings by showing the most essential processing steps and allowing students to visualize the underlying physics of the various methods. An evaluation of the software based on student feedback from focus-group interviews and think-aloud observations helps drive its development and refinement.
The toolkit provides a logical gateway into the more sophisticated and costly software students will encounter later in their training and careers by combining essential visualization, modeling, processing , and analysis steps for seismic, GPR, magnetics, gravity, resistivity, and electromagnetic data. Secure Software Configuration Management Processes for nuclear safety software development environment.
However, secure software development environment have often been ignored in the nuclear industry. Software Configuration Management SCM is an essential discipline in the software development environment. SCM involves identifying configuration items, controlling changes to those items, and maintaining integrity and traceability of them.
The laws of software process a new model for the production and management of software. The TJ-II Data Acquisition System DAS has to provide a user interface which will allow setup for sampling channels, discharge signal visualization and reduce data processing , all in run time.
On the other hand, the DAS will provide a high level software capability for signal analysis, processing and data visualization either in run time or off line.
Software quality assurance and planning of an astronomy project is a complex task, specially if it is a distributed collaborative project such as ALMA, where the development centers are spread across the globe. When you execute a software project there is much valuable information about this process itself that you might be able to collect. One of the ways you can receive this input is via an issue tracking system that will gather the problem reports relative to software bugs captured during the testing of the software , during the integration of the different components or even worst, problems occurred during production time.
Usually, there is little time spent on analyzing them but with some multidimensional processing you can extract valuable information from them and it might help you on the long term planning and resources allocation. We present an analysis of the information collected at ALMA from a collection of key unbiased indicators. We describe here the extraction, transformation and load process and how the data was processed. The main goal is to assess a software process and get insights from this information.
Flexible software process lines in practice: A metamodel-based approach to effectively construct and manage families of software process models. A software process line SPrL is an instrument to systematically construct and manage variable software processes , by combining pre-def This paper was published as original research article in the Journal of Systems and Software A software process line SPrL is an instrument to systematically construct and manage variable software processes , by combining pre We contribute a proven approach that is presented as metamodel fragment for reuse and implementation in further process modeling approaches.
This summary refers to the paper Flexible software process lines in practice SEPS is a dynamic simulation model of the software project development process. It uses the feedback principles of system dynamics to simulate the dynamic interactions among various software life cycle development activities and management decision making processes. The model is designed to be a planning tool to examine tradeoffs of cost, schedule, and functionality, and to test the implications of different managerial policies on a project’s outcome.
Furthermore, SEPS will enable software managers to gain a better understanding of the dynamics of software project development and perform postmodern assessments. Multibeam sonar backscatter data processing. Schimel, Alexandre C. Multibeam sonar systems now routinely record seafloor backscatter data , which are processed into backscatter mosaics and angular responses, both of which can assist in identifying seafloor types and morphology.
Those data products are obtained from the multibeam sonar raw data files through a sequence of data processing stages that follows a basic plan, but the implementation of which varies greatly between sonar systems and software. In this article, we provide a comprehensive review of this backscatter data processing chain, with a focus on the variability in the possible implementation of each processing stage. Our objective for undertaking this task is twofold: 1 to provide an overview of backscatter data processing for the consideration of the general user and 2 to provide suggestions to multibeam sonar manufacturers, software providers and the operators of these systems and software for eventually reducing the lack of control, uncertainty and variability associated with current data processing implementations and the resulting backscatter data products.
One such suggestion is the adoption of a nomenclature for increasingly refined levels of processing , akin to the nomenclature adopted for satellite remote-sensing data deliverables. Managing mapping data using commercial data base management software. Electronic computers are involved in almost every aspect of the map making process.
This involvement has become so thorough that it is practically impossible to find a recently developed process or device in the mapping field which does not employ digital processing in some form or another. This trend, which has been evolving over two decades, is accelerated by the significant improvements in capility, reliability, and cost-effectiveness of electronic devices.
Computerized mapping processes and devices share a common need for machine readable data. Integrating groups of these components into automated mapping systems requires careful planning for data flow amongst them. Exploring the utility of commercial data base management software to assist in this task is the subject of this paper.
Software complex for geophysical data visualization. The effectiveness of current research in geophysics is largely determined by the degree of implementation of the procedure of data processing and visualization with the use of modern information technology. Realistic and informative visualization of the results of three-dimensional modeling of geophysical processes contributes significantly into the naturalness of physical modeling and detailed view of the phenomena.
The main difficulty in this case is to interpret the results of the calculations: it is necessary to be able to observe the various parameters of the three-dimensional models, build sections on different planes to evaluate certain characteristics and make a rapid assessment.
Programs for interpretation and visualization of simulations are spread all over the world, for example, software systems such as ParaView, Golden Software Surfer, Voxler, Flow Vision and others. However, it is not always possible to solve the problem of visualization with the help of a single software package. Preprocessing, data transfer between the packages and setting up a uniform visualization style can turn into a long and routine work. In addition to this, sometimes special display modes for specific data are required and existing products tend to have more common features and are not always fully applicable to certain special cases.
Rendering of dynamic data may require scripting languages that does not relieve the user from writing code. Therefore, the task was to develop a new and original software complex for the visualization of simulation results. Let us briefly list of the primary features that are developed.
Software complex is a graphical application with a convenient and simple user interface that displays the results of the simulation. Complex is also able to interactively manage the image, resize the image without loss of quality, apply a two-dimensional and three-dimensional regular grid, set the coordinate axes with data labels and perform slice of data.
What Counts in Software Process? A qualitative field study at two Agile software development companies was conducted to investigate the role of artifacts in the software development work and the relationship between these artifacts Documentation of software requirements is a major concern among software developers and software researchers.
Agile software development denotes a different relationship to documentation, one that warrants investigation. Empirical findings are presented which suggest a new understanding In particular there is no such an essential element as corrective action as input or resulting parameters in the local time scale “time bias” , etc.
The program blocks are written in Perl and Matlab program languages and can be used both for Windows and Linux, bit and bit platforms. Problem Diagnosis in Software Process Improvement. This paper addresses software process improvement. In particular it reports on action research undertaken to understand the problems with software processes of a large Danish company. It is argued that in order to understand what the specific problems are we may, on the one hand, rely on process It is argued that problem diagnosis a useful approach and that it has advantages over model-based assessment On the other hand, we may also see the specific and unique features of software processes in this company through what we call problem diagnosis.
Problem diagnosis deals with eliciting problems perceived by software project managers and with forming commitment structures NASA’s upcoming missions are expected to be generating data volumes at least an order of magnitude larger than current missions.
A significant increase in data processing , data rates, data volumes, and long-term data archive capabilities are needed. Consequently, new challenges are emerging that impact traditional data and software management approaches. At large-scales, next generation science data systems are exploring the move onto cloud computing paradigms to support these increased needs.
With more science data systems being on-boarding onto cloud computing facilities, we can expect more Earth science data records to be both generated and kept in the cloud.
But at large scales, the cost of processing and storing global data may impact architectural and system designs. Data systems will trade the cost of keeping data in the cloud with the data life-cycle approaches of moving “colder” data back to traditional on-premise facilities. How will this impact data citation and processing software stewardship? What are the impacts of cloud-based on-demand processing and its affect on reproducibility and provenance.
Similarly, with more science processing software being moved onto cloud, virtual machines, and container based approaches, more opportunities arise for improved stewardship and preservation. But will the science community trust data reprocessed years or decades later?
We will also explore emerging questions of the stewardship of the science data system software that is generating the science data records both during and after the life of mission. A software perspective of environmental data quality. Because of the large amount of complex data in environmental projects, particularly large decontamination and decommissioning projects, the quality of the data has a profound impact on the success and cost of the mission.
In every phase of the life cycle of the project, including regulatory intervention and legal proceedings, maintaining the quality of data and presenting data in a timely and meaningful manner are critical. In this paper, a systemic view of data quality management from a software engineering perspective is presented. A method of evaluation evolves from this view.
This method complements the principles of the data quality objective. When graded adequately, the method of evaluation establishes a paradigm for ensuring data quality for new and renewed projects. This paper also demonstrates that incorporating good practices of software engineering into the data management process leads to continuous improvement of data quality.
Software has gained an essential role in our daily life in the last decades. This condition demands high quality software. To produce high quality software many practitioners and researchers put more attention on the software development process. Large investments are poured to improve the software development process. Software Process Improvement SPI is a research area which is aimed to address the assessment and improvement issues in the software development process.
One of the most impor Man-machine-communication in electrical power plants is increasingly based on the capabilities of minicomputers. Rather than just displaying raw process data more complex processing is done to aid operators by improving information quality.
Advanced operator aids for nuclear power plants are, e. Operator aids use complex combinations and computations of plant signals, which have to be described in a formal and homogeneous way. The design of such computer-based information systems requires extensive software and engineering efforts. The STAR software concept reduces the software effort to a minimum by proving an advanced program package which facilitates specification and implementation of engineering know-how necessary for sophisticated operator aids.
Mapping social networks in software process improvement. Software process improvement in small, agile organizations is often problematic. Model-based approaches seem to overlook problems. We have been seeking an alternative approach to overcome this through action research. Here we report on a piece of action research from which we developed an approach We applied the mapping approach in a small software company to support the realization of new ways of improving software processes.
The mapping approach was found useful in improving social networks, and thus furthers For production systems like expert systems, a rule generation software can facilitate the faster deployment. The software process model for rule generation using decision tree classifier refers to the various steps required to be executed for the development of a web based software model for decision rule generation.
The paper presents the specific output of various steps of modified wat Our goal is an integrated analysis experience in IDL, easy-to-use but flexible enough to allow more sophisticated procedures such as multi-instrument analysis. To that end, we have made the transition from a locally oriented setting where all the analysis is done on the user’s computer, to an extended analysis environment where IDL has access to services available on the Internet.
We have implemented a form of Cloud Computing that uses the VSO search and a new data retrieval and pre- processing server PrepServer that provides remote execution of instrument-specific data preparation. The raw and pre- processed data can be displayed with our plotting suite, PLOTMAN, which can handle different data types light curves, images, and spectra and perform basic data operations such as zooming, image overlays, solar rotation, etc.
Understanding flexible and distributed software development processes. Making the PACS workstation a browser of image processing software : a feasibility study using inter- process communication techniques. To enhance the functional expandability of a picture archiving and communication systems PACS workstation and to facilitate the integration of third-part image- processing modules, we propose a browser-server style method. In the proposed solution, the PACS workstation shows the front-end user interface defined in an XML file while the image processing software is running in the background as a server.
Inter- process communication IPC techniques allow an efficient exchange of image data , parameters, and user input between the PACS workstation and stand-alone image- processing software. Using a predefined communication protocol, the PACS workstation developer or image processing software developer does not need detailed information about the other system, but will still be able to achieve seamless integration between the two systems and the IPC procedure is totally transparent to the final user.
Ten example image- processing modules were easily added to OsiriX by converting existing MeVisLab image processing networks. Image data transfer using shared memory added communication based on IPC techniques is an appealing method that allows PACS workstation developers and image processing software developers to cooperate while focusing on different interests.
SignalPlant: an open signal processing software platform. The growing technical standard of acquisition systems allows the acquisition of large records, often reaching gigabytes or more in size as is the case with whole-day electroencephalograph EEG recordings, for example.
Although current bit software for signal processing is able to process e. For this reason, we have developed SignalPlant-a stand-alone application for signal inspection, labeling and processing. The main motivation was to supply investigators with a tool allowing fast and interactive work with large multichannel records produced by EEG, electrocardiograph and similar devices. The rendering latency was compared with EEGLAB and proves significantly faster when displaying an image from a large number of samples e.
The presented SignalPlant software is available free and does not depend on any other computation software. Furthermore, it can be extended with plugins by third parties ensuring its adaptability to future research tasks and new data formats. Nonetheless, once a Mission goes into the “legacy” phase, there are very limited funds and long-term preservation becomes more and more difficult. This talk describes the architecture, challenges, results and lessons learnt gathered in this project.
Imperfect Information in Software Design Processes. The process of designing high-quality software systems is one of the major issues in software engineering research. Over the years, this has resulted in numerous design methods, each with specific qualities and drawbacks. For example, the Rational Unified Process is a comprehensive design process ,. This paper presents a software development process for safety-critical software components of cyber-physical systems.
The process relies on formal methods for rigorously validating code against its requirements. The software development process uses: 1 a formal specification language for describing the algorithms and their functional requirements, 2 an interactive theorem prover for formally verifying the correctness of the algorithms, 3 test cases that stress the code, and 4 numerical evaluation on these test cases of both the algorithm specifications and their implementations in code.
These algorithms ensure that the position of an aircraft never leaves a predetermined polygon region and provide recovery maneuvers when the region is inadvertently exited.
A process algebra software engineering environment. In previous work we described how the process algebra based language PSF can be used in software engineering, using the ToolBus, a coordination architecture also based on process algebra, as implementation model.
In this article we summarize that work and describe the software development process. Full Text Available The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring SHM. The authors’ approach is to address the SHM problem in the context of a statistical pattern recognition paradigm. These processes must be implemented through hardware or software and, in general, some combination of these two approaches will be used.
This paper will discuss each portion of the SHM process with particular emphasis on the coupling of a general purpose data interrogation software package for structural health monitoring with a modular wireless sensing and processing platform.
Process air quality data. Air quality sampling was conducted. Data for air quality parameters, recorded on written forms, punched cards or magnetic tape, are available for through Computer software was developed to 1 calculate several daily statistical measures of location, 2 plot time histories of data or the calculated daily statistics, 3 calculate simple correlation coefficients, and 4 plot scatter diagrams.
Computer software was developed for processing air quality data to include time series analysis and goodness of fit tests. Computer software was developed to 1 calculate a larger number of daily statistical measures of location, and a number of daily monthly and yearly measures of location, dispersion, skewness and kurtosis, 2 decompose the extended time series model and 3 perform some goodness of fit tests. The computer program is described, documented and illustrated by examples.
Recommendations are made for continuation of the development of research on processing air quality data. For decades, Software Process Improvement SPI programs have been implemented, inter alia, to improve quality and speed of software development. The user provides the number of resources, the overall percent of effort that should be allocated to each process step, and the number of desired staff members for each step.
The output of PATT includes the size of the product, a measure of effort, a measure of rework effort, the duration of the entire process , and the numbers of injected, detected, and corrected defects as well as a number of other interesting features.
In the development of the present model, steps were added to the IEEE waterfall process , and this model and its implementing software were made to run repeatedly through the sequence of steps, each repetition representing an iteration in a spiral process.
Because the IEEE model is founded on a waterfall paradigm, it enables direct comparison of spiral and waterfall processes. The model can be used throughout a software -development project to analyze the project as more information becomes available. For instance, data from early iterations can be used as inputs to the model, and the model can be used to estimate the time and cost of carrying the project to completion. Software development processes and analysis software : a mismatch and a novel framework.
This paper discusses the salient characteristics of analysis software and the impact of those characteristics on its development. From this discussion, it can be seen that mainstream software development processes , usually characterized as Plan Driven or Agile, are built upon assumptions that are mismatched to the development and maintenance of analysis software. We propose a novel software development framework that would match the process normally observed in the development of analysis software.
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Therefore, the task was to develop a new and original software complex for the visualization of simulation results. Because this process plays http://replace.me/25467.txt and more important roles in software development. Each set of images will be combined to create a very sensitive multicolor image of the sky, and differences between images will provide for a massive database of ‘time windows 10 1703 download iso italy vsp astronomy’ including the study of moving objects and transient or variable objects. The data reduction diwnload concatenates data tapes; determines ephemeris; and inverts full sun extinction data.