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Monitoring the results of software reliability growth models (SRGMs) helps evaluate project's situations. SRGMs are used to measure the reliability of software by analyzing the relations between the number of detected bugs and the detected time to predict the number of remaining bugs within the software. For example, development managers apply a SRGM to the number of detected bugs and the detected...
In software development, defects are inevitable. To improve reliability, software reliability growth models are useful to analyze projects. Selecting an expedient model can also help with defect predictions, but the model must be well fitted to all the original data. A particular software reliability growth model may not fit all the data well. To overcome this issue, herein we use multistage modeling...
In software development, software reliability growth models (SRGMs) often provide values that do not meet expectations; sometimes the results of the SRGM and the actual data disagree and other times the SRGM overestimates the expected values. The former often occurs in model curves and the predicted number of faults. For example, the software reliability growth curve cannot describe the situation...
There is a significant challenge that how to predict the possible release date of the target software having enough reliability in agile development where incremental development and small software releases are key characteristics. Existing approaches targeting agile development usually use release backlogs for predicting and setting delivery windows, however these do not consider the reliability...
Development environments have changed drastically, development periods are shorter than ever and the number of team members has increased. These changes have led to difficulties in controlling the development activities and predicting when the development will end. Especially, quality managers try to control software reliability and project managers try to estimate the end of development for planning...
Development environments have changed drastically, development periods are shorter than ever and the number of team members has increased. Especially in open source software (OSS), a large number of developers contribute to OSS. OSS has difficulties in predicting or deciding when it will be released. In order to assess recent software developments, we proposed a generalized software reliability model...
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