Determining Optimal Release and Testing Stop Time of a Software Using Discrete Approach

Author:

Shrivastava Avinash K.1ORCID,Sharma Ruchi1ORCID

Affiliation:

1. International Management Institute, Kolkata, India

Abstract

In the last 20 years researcher’s proposed to determine the optimal release and testing termination time considering the calendar time or continuous approach. However, it has been shown in the literature that it is better to develop the model by considering the number of test cases executed to remove faults. This is possible by using the discrete modelling approach developed in the software reliability literature. In the existing discrete software reliability literature, no work has been done in the direction of separating the release and testing termination time. In this work, we have developed a discrete framework to determine the optimal release and testing termination time under budgetary constraints. The numerical illustration suggests that it is better to release the software after executing a lesser number of testing periods. Also, the total cost in the proposed strategy is significantly less as compared to the existing discrete release time literature.

Publisher

IGI Global

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Science Applications,Software

Reference41 articles.

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3. Research Note—Sell First, Fix Later: Impact of Patching on Software Quality

4. Optimal release time estimation of software system using Box-Cox transformation and neural network. International Journal of Mathematical;M.Begum;Engineering and Management Sciences,2018

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Planning Software Release and Testing Stop Time under Budgetary and Reliability Constraints;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

2. Modeling Optimal Software Release and Patch Release Time;2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2022-10-13

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