Towards a New Framework of Software Reliability Measurement Based on Software Metrics
Author(s) -
Dalila Amara,
Latifa Ben Arfa Rabai
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.05.428
Subject(s) - computer science , software quality , software metric , software reliability testing , reliability engineering , systems development life cycle , software sizing , reliability (semiconductor) , software development , software construction , software system , software engineering , avionics software , software measurement , software , verification and validation , personal software process , measure (data warehouse) , data mining , operating system , engineering , power (physics) , operations management , physics , quantum mechanics
Measuring software reliability is one of the most important concerns for software engineers and decisions makers since if we can't measure it we can't master it. For engineers, the system reliability level can be used to measure the progress of system testing by comparing the current software failure intensity with the desired one. For decision makers,the system reliability level Guarantee better exploitation by the users therefore better customer satisfaction. A literature review shows a lack of studies focusing on the reliability measurement processes related to software development life cycle (SDLC). In this paper, our intention is to propose a thoroughly analysis of the software reliability measurement processes. Since the current software measurement trends are focusing on software metrics, we will propose a new framework of reliability measurement based on software metrics. This new framework is required by developers to assess their software reliability and by decision makers to make appropriate quality improvements.
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