Optimal release time determination via fuzzy goal programming approach for SDE-based software reliability growth model

Chatterjee, Saikat; Chaudhuri, Bhagyashree; Bhar, Chandan

doi:10.1007/s00500-020-05385-7

Cited by 8 publications

(9 citation statements)

References 42 publications

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“…Many design defects and mistakes often take place in the process of software production that are usually recognized as faults 2,15,113 . These defects lead to the activation of these faults when a certain input is fed into the software, which leads to the deviation of software behavior from its predetermined behavior and eventually causes failure.…”

Section: Methodsmentioning

confidence: 99%

“…Many design defects and mistakes often take place in the process of software production that are usually recognized as faults. 2,15,113 These defects lead to the activation of these faults when a certain input is fed into the software, which leads to This research presents a novel computational technique, named adaptive neuro-fuzzy inference system (ANFIS), for the modeling of software effort estimation.…”

Section: Software Reliability Growth Modelsmentioning

confidence: 99%

“…114 As mentioned, in SRGM methods, the software is first tested and the test results are subsequently collected, which are in the form of failure times or number of failures, the reliability model is then constructed and finally the model parameters estimated. 2,17,115,116 The optimized model can be employed to forecast the number of remaining faults or the next failure time and confidence intervals for forecasts. The general course of this process is presented in the flowchart below (Figure 4).…”

Section: Procedia Computer Sciencementioning

confidence: 99%

“…Nowadays, software have taken essential roles in systems that are associated with sensitive applications such as medicine, military industry, and nuclear reactors 1,2 . Therefore, the risks and effects of software failures can lead to irreversible damage 3–7 .…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, software have taken essential roles in systems that are associated with sensitive applications such as medicine, military industry, and nuclear reactors. 1,2 Therefore, the risks and effects of software failures can lead to irreversible damage. [3][4][5][6][7] Such issues have led software system developers to check the quality of software before introducing the product to the market as well as during the project completion stages.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Software reliability prediction: A survey

Oveisi

Moeini

Mirzaei

et al. 2022

Quality & Reliability Eng

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Software Reliability Growth Modelsmentioning

confidence: 99%