Software Matrices Selection for a SDLC Based Software Reliability Prediction Model
Neha Yadav1, Vibhash Yadav2, Prashant Kumar Mishra3
1Neha Yadav, Department of CSE, KIET Group of Institutions, Ghaziabad (U.P), India.
2Vibhash Yadav, Department of IT, REC, Banda (U.P), India.
3Prashant Kumar Mishra, Department of CSE, PSIT, Kanpur (U.P), India.
Manuscript received on 24 August 2019 | Revised Manuscript received on 05 September 2019 | Manuscript Published on 16 September 2019 | PP: 959-963 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B11830782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1183.0782S619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Software reliability is one of the essential factors of quality in software engineering like other quality attributes as functionality, usability, maintainability, performance, serviceability, documentation etc. From last few years, several software reliability models have been developed. There is lack of relevant literature which focuses on processes related to SDLC. A SDLC based structure for measurement of reliability has been proposed. Identified software reliability measures which are majorly take place in all levels of early software development phase of SDLC. Considering all measures for reliability estimation will be costly and time taking. So measures are identified which are taking place at each development phase and have high synthetic weight according to selecting criteria based on expert judgment and multi criteria decision making technique. Based on the grading, top ranked measures like completeness, error distribution, fault density etc are identified. Use of recommended metrics will make software reliability estimation more effective and reliable.
Keywords: Multi Criteria Decision Making, Reliability Measurement, Reliability Metrics, Reliability Techniques, Selecting Criteria.
Scope of the Article: Software Engineering & Its Applications