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TitleA Discrete Formulation of Successive Software Releases Based on Imperfect Debugging
CreatorSingh, Jagvinder;Anand, Adarsh;Kumar, Avneesh;Khatri, Sunil Kumar
Key WordsSoftware Reliability;Non-Homogeneous Poisson Process (NHPP);Software Testing;Successive Software Releases;Imperfect Debugging
Date2014-09
Date Issued16-Aug-2016 16:22:38 (UTC+8)
SummarySoftware reliability is the major dynamic attribute of the software quality, so gaining reliability of software product is a vital issue for software products. Due to intense competition the software companies are coming with multiple add-ons to survive in the pure competitive environment by keeping an eye on existing system i.e. system in operational phase. Software reliability engineering is focused on engineering techniques for timely add-ons/Up-gradations and maintaining software systems whose reliability can be quantitatively evaluated. In order to estimate as well as to predict the reliability of software systems, failure data need to be properly measured by various means during software development and operational phases. Although software reliability has remained an active research subject over the past 35 years, challenges and open questions still exist. This paper presents a discrete software reliability growth modeling framework for multi-up gradations including the concept of two types of imperfect debugging during software fault removal phenomenon. The Proposed model has been validated on real data set and provides fairly good results.
Relation資管評論, 20(1), 45-58
MIS review
Typearticle
DOI http://dx.doi.org/10.6131/MISR.2014.2001.03
dc.creator (作者) Singh, Jagvinder;Anand, Adarsh;Kumar, Avneesh;Khatri, Sunil Kumar
dc.date (日期) 2014-09
dc.date.accessioned 16-Aug-2016 16:22:38 (UTC+8)-
dc.date.available 16-Aug-2016 16:22:38 (UTC+8)-
dc.date.issued (上傳時間) 16-Aug-2016 16:22:38 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/100318-
dc.description.abstract (摘要) Software reliability is the major dynamic attribute of the software quality, so gaining reliability of software product is a vital issue for software products. Due to intense competition the software companies are coming with multiple add-ons to survive in the pure competitive environment by keeping an eye on existing system i.e. system in operational phase. Software reliability engineering is focused on engineering techniques for timely add-ons/Up-gradations and maintaining software systems whose reliability can be quantitatively evaluated. In order to estimate as well as to predict the reliability of software systems, failure data need to be properly measured by various means during software development and operational phases. Although software reliability has remained an active research subject over the past 35 years, challenges and open questions still exist. This paper presents a discrete software reliability growth modeling framework for multi-up gradations including the concept of two types of imperfect debugging during software fault removal phenomenon. The Proposed model has been validated on real data set and provides fairly good results.
dc.format.extent 803493 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) 資管評論, 20(1), 45-58
dc.relation (關聯) MIS review
dc.subject (關鍵詞) Software Reliability;Non-Homogeneous Poisson Process (NHPP);Software Testing;Successive Software Releases;Imperfect Debugging
dc.title (題名) A Discrete Formulation of Successive Software Releases Based on Imperfect Debugging
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.6131/MISR.2014.2001.03
dc.doi.uri (DOI) http://dx.doi.org/10.6131/MISR.2014.2001.03