An Index for Software Engineering Models

International audienc

Annotated bibliography of Software Engineering Laboratory literature

This document is an annotated bibliography of technical papers, documents, and memorandums produced by or related to the Software Engineering Laboratory. Nearly 200 publications are summarized. These publications cover many areas of software engineering and range from research reports to software documentation. This document has been updated and reorganized substantially since the original version (SEL-82-006, November 1982). All materials have been grouped into eight general subject areas for easy reference: the Software Engineering Laboratory; the Software Engineering Laboratory: software development documents; software tools; software models; software measurement; technology evaluations; Ada technology; and data collection. This document contains an index of these publications classified by individual author

Annotated bibliography of software engineering laboratory literature

This document is an annotated bibliography of technical papers, documents, and memorandums produced by or related to the Software Engineering Laboratory. Nearly 200 publications are summarized. These publications cover many areas of software engineering and range from research reports to software documentation. This document has been updated and reorganized substantially since the original version (SEL-82-006, November 1982). All materials have been grouped into eight general subject areas for easy reference: (1) The Software Engineering Laboratory; (2) The Software Engineering Laboratory: Software Development Documents; (3) Software Tools; (4) Software Models; (5) Software Measurement; (6) Technology Evaluations; (7) Ada Technology; and (8) Data Collection. This document contains an index of these publications classified by individual author

Software engineering laboratory series: Annotated bibliography of software engineering laboratory literature

This document is an annotated bibliography of technical papers, documents, and memorandums produced by or related to the Software Engineering Laboratory. More than 100 publications are summarized. These publications cover many areas of software engineering and range from research reports to software documentation. This document has been updated and reorganized substantially since the original version (SEL-82-006, November 1982). All materials have been grouped into eight general subject areas for easy reference: (1) the Software Engineering Laboratory; (2) the Software Engineering Laboratory: Software Development Documents; (3) Software Tools; (4) Software Models; (5) Software Measurement; (6) Technology Evaluations; (7) Ada Technology; and (8) Data Collection. This document contains an index of these publications classified by individual author

Annotated bibliography of Software Engineering Laboratory literature

An annotated bibliography of technical papers, documents, and memorandums produced by or related to the Software Engineering Laboratory is presented. More than 100 publications are summarized. These publications are summarized. These publications cover many areas of software engineering and range from research reports to software documentation. This document has been updated and reorganized substantially since the original version (SEL-82-006, November 1982). All materials are grouped into five general subject areas for easy reference: (1) the software engineering laboratory; (2) software tools; (3) models and measures; (4) technology evaluations; and (5) data collection. An index further classifies these documents by specific topic

Generalization Index: Defining a metric for the detection of smells in UML Class Diagrams in Eclipse Modeling Framework in Eclipse

In the field of Software Engineering, while designing the software design and maintaining the source code quality, a lot of good and bad practices come into being. With the continuous evolutions in the field of modeling in software development processes, Model Driven Software Development (MDSD), focuses towards the quality of software models. Unified Modeling Language (UML) is a graphical notation for expressing object-oriented designs. With its emergence as a modeling standard and being widely accepted by most software development organizations, in this research paper we focus on UML Class Diagrams. Metrics are mathematical models used for measuring. In software engineering, metrics are utilized for measuring quality aspects of software models. A manual model review is very time consuming and prone to errors, so it becomes essential to automate the tasks as effectively as possible. The Eclipse plug-in EMF Metrics supports specification and calculation of metrics wrt. specific EMF based models. A new definition technique for EMF quality assurance can be defined using Java, an OCL query or Henshin Pattern. In this paper we propose an algorithm for the calculation a new metric named Generalization Index Metric (GIX) for Java Code

Evolution of Software Engineering in the Changing Scenario of Modern Hardware Architecture, Semantic Web and Cloud Computing Platform

Traditional way of software engineering is no longer fully suitable in the changing scenario of modern hardwareand software architecture of parallel and distributed computing on Semantic web and Cloud computing platform. A parallelhardware architecture can support high performance computing but needs changes in programming style. Also the capabilityof Semantic web can link everything on the internet making an interoperable intelligent system. And with this capabilitymany beneficial business models like Web services and Cloud computing platform have been conceptualized. Cloudcomputing is the most anticipated future trend of computing. These changes in hardware and software architecture means weneed to re-visit the traditional software engineering process models meant for a single computer system. This paper firstsurveys the evolution of hardware architecture, newer business models, newer software applications and then analyses theneed for changes in software engineering process models to leverage all the benefits of the newer business models. Thispaper also emphasizes the vulnerability of the web applications and cloud computing platform in terms of risk managementof web applications in general and privacy and security of customer information in shared cloud platform which maythreaten the adoption of the cloud platform.Keywords/Index Terms— Agile Process Model , Cloud Computing Platform, Privacy and Security Issues, RiskManagement, Semantic Web, Software Evolution

Estimation of Defect proneness Using Design complexity Measurements in Object- Oriented Software

Software engineering is continuously facing the challenges of growing complexity of software packages and increased level of data on defects and drawbacks from software production process. This makes a clarion call for inventions and methods which can enable a more reusable, reliable, easily maintainable and high quality software systems with deeper control on software generation process. Quality and productivity are indeed the two most important parameters for controlling any industrial process. Implementation of a successful control system requires some means of measurement. Software metrics play an important role in the management aspects of the software development process such as better planning, assessment of improvements, resource allocation and reduction of unpredictability. The process involving early detection of potential problems, productivity evaluation and evaluating external quality factors such as reusability, maintainability, defect proneness and complexity are of utmost importance. Here we discuss the application of CK metrics and estimation model to predict the external quality parameters for optimizing the design process and production process for desired levels of quality. Estimation of defect-proneness in object-oriented system at design level is developed using a novel methodology where models of relationship between CK metrics and defect-proneness index is achieved. A multifunctional estimation approach captures the correlation between CK metrics and defect proneness level of software modules.Comment: 5 pages, 1 figur

System-of-Systems Technology-Portfolio-Analysis Tool

Advanced Technology Life-cycle Analysis System (ATLAS) is a system-of-systems technology-portfolio-analysis software tool. ATLAS affords capabilities to (1) compare estimates of the mass and cost of an engineering system based on competing technological concepts; (2) estimate life-cycle costs of an outer-space-exploration architecture for a specified technology portfolio; (3) collect data on state-of-the-art and forecasted technology performance, and on operations and programs; and (4) calculate an index of the relative programmatic value of a technology portfolio. ATLAS facilitates analysis by providing a library of analytical spreadsheet models for a variety of systems. A single analyst can assemble a representation of a system of systems from the models and build a technology portfolio. Each system model estimates mass, and life-cycle costs are estimated by a common set of cost models. Other components of ATLAS include graphical-user-interface (GUI) software, algorithms for calculating the aforementioned index, a technology database, a report generator, and a form generator for creating the GUI for the system models. At the time of this reporting, ATLAS is a prototype, embodied in Microsoft Excel and several thousand lines of Visual Basic for Applications that run on both Windows and Macintosh computers

Electromagnetic wave phenomena in periodic metastructures

There is an active effort toward the development of negative index metamaterials for application in high-resolution imaging. In particular, engineering an artificial material exhibiting an index of exactly -1, may permit sub-wavelength imaging. This research was directed toward the development of a negative one index metamaterial using a modified version of an S patterned meta model designed and experimentally tested by Jin Au Kong. This modified S model provided the necessary insight into the basic elementary parameters responsible for realizing a negative index. Based on this, it became clear how variable conductivity could result in achieving a –1 index. What followed was an investigation into the Drude model of conductivity. This model though not physically realizable demonstrated a negative one-index metamaterial using CST (Computer Simulation Technology) software, and high-resolution imaging was accomplished using the Drude model and CST simulations. These encouraging numerical results provided an ideal model for development toward a physically realizable –1 index meta model. Three different thickness metamaterial negative index lens models were designed using CST having indices in the range of -0.8 and with reasonably low loss. We examined the difficulties in adjusting the designs to better approach -1. These models were built and tested experimentally for comparison with CST simulations, but due specifically to loss made the possibility of viewing images difficult. The primary conclusion is that without a –1 index, the resulting image resolution seen in the simulation would not be significantly improved over the traditional diffraction limit. It was also established that it may be difficult to make further progress toward a -1 index using fixed conductivity models in view of coupling between the many variables involved that determined the actual index in the real built models