Software reliability prediction: A survey

Softwares play an important role in controlling complex systems. Monitoring the proper functioning of the components of such systems is the principal role of softwares. Often, a petite fault in one of the subsystems may cause irreparable damages; therefore, it is of great importance to be able to pr...

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Published in:	Quality and reliability engineering international Vol. 39; no. 1; pp. 412 - 453
Main Authors:	Oveisi, Shahrzad, Moeini, Ali, Mirzaei, Sayeh, Farsi, Mohammad Ali
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 01.02.2023
Subjects:	Bayesian analysis Bayesian methods Complex systems fuzzy logic inference systems neural network algorithms Prediction models Software reliability SRGM Subsystems supervised algorithms
ISSN:	0748-8017, 1099-1638
Online Access:	Get full text
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Abstract	Softwares play an important role in controlling complex systems. Monitoring the proper functioning of the components of such systems is the principal role of softwares. Often, a petite fault in one of the subsystems may cause irreparable damages; therefore, it is of great importance to be able to predict software faults and estimate the reliability of softwares. In this survey, we present a classification of various methods proposed in the literature to predict software reliability. This study summarizes the results of more than 200 research papers in the field. We also discuss the challenges involved in prediction methods along with proposed partial solutions (i.e., Bayesian methods) to improve the accuracy of such predictions. Moreover, we review numerous evaluation measures introduced so far to assess the performance of prediction models, the datasets they are based on, and also the results they yield.
AbstractList	Softwares play an important role in controlling complex systems. Monitoring the proper functioning of the components of such systems is the principal role of softwares. Often, a petite fault in one of the subsystems may cause irreparable damages; therefore, it is of great importance to be able to predict software faults and estimate the reliability of softwares. In this survey, we present a classification of various methods proposed in the literature to predict software reliability. This study summarizes the results of more than 200 research papers in the field. We also discuss the challenges involved in prediction methods along with proposed partial solutions (i.e., Bayesian methods) to improve the accuracy of such predictions. Moreover, we review numerous evaluation measures introduced so far to assess the performance of prediction models, the datasets they are based on, and also the results they yield.
Author	Mirzaei, Sayeh Moeini, Ali Farsi, Mohammad Ali Oveisi, Shahrzad
Author_xml	– sequence: 1 givenname: Shahrzad surname: Oveisi fullname: Oveisi, Shahrzad organization: University of Tehran – sequence: 2 givenname: Ali surname: Moeini fullname: Moeini, Ali email: moeini@ut.ac.ir organization: University of Tehran – sequence: 3 givenname: Sayeh surname: Mirzaei fullname: Mirzaei, Sayeh organization: University of Tehran – sequence: 4 givenname: Mohammad Ali surname: Farsi fullname: Farsi, Mohammad Ali organization: (Ministry of Science, Research and Technology)
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Snippet	Softwares play an important role in controlling complex systems. Monitoring the proper functioning of the components of such systems is the principal role of...
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SubjectTerms	Bayesian analysis Bayesian methods Complex systems fuzzy logic inference systems neural network algorithms Prediction models Software reliability SRGM Subsystems supervised algorithms
Title	Software reliability prediction: A survey
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