DYNAMIC DETECTION OF DESIGN INCONSISTENCY DURING SOFTWARE DEVELOPMENT USING DAID APPROACH

Evolution of software has lead to the fast growth of technology whose impact can be witnessed in all the domains of scientific and engineering applications. Hence engineering high quality software is one of the core challenges of all IT industries. The software models which are being used for the development of the software products may lead to inconsistencies. Nevertheless, theexistence of several methodologies during the development process in order to overcome inconsistencies operates at static mode leading towards expensive nature of rework on those inconsistencies. Therefore, this paper presents a dynamic model which resolves the aforementioned issue by capturing inconsistencies dynamically in an automated mode using Dynamic automated inconsistency detection (DAID) model. The implementation results of DAID capture the design inconsistencies dynamically at the time of their injection points in lieu of inconsistency detection during validation testing. This approach of dynamic design inconsistency detection reduces cost, time and its associated overheads. Further implementation of DAID in an automated mode increases productivity, quality and sustainability in IT industries

Search based software engineering: Trends, techniques and applications

© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version is available from the link below.In the past five years there has been a dramatic increase in work on Search-Based Software Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based Optimization (SBO) algorithms are used to address problems in SE. SBSE has been applied to problems throughout the SE lifecycle, from requirements and project planning to maintenance and reengineering. The approach is attractive because it offers a suite of adaptive automated and semiautomated solutions in situations typified by large complex problem spaces with multiple competing and conflicting objectives. This article provides a review and classification of literature on SBSE. The work identifies research trends and relationships between the techniques applied and the applications to which they have been applied and highlights gaps in the literature and avenues for further research.EPSRC and E

Empirical studies of open source evolution

Copyright @ 2008 Springer-VerlagThis chapter presents a sample of empirical studies of Open Source Software (OSS) evolution. According to these studies, the classical results from the studies of proprietary software evoltion, such as Lehman’s laws of software evolution, might need to be revised, if not fully, at least in part, to account for the OSS observations. The book chapter also summarises what appears to be the empirical status of each of Lehman’s laws with respect to OSS and highlights the threads to validity that frequently emerge in these empirical studies. The chapter also discusses related topics for further research