Software Release Assessment under Multiple Alternatives with Consideration of Debuggers’ Learning Rate and Imperfect Debugging Environment

In the software development life cycle, quality and reliability of are critical to developers. Poor not only cause loss customers sales but also increase operational risk due unreliable codes. Therefore, developers should try their best reduce such potential defects by undertaking a testing project. However, pursue perfect faultless is unrealistic since budget, time, resources limited, need reach compromise that balances cost. Using model presented in this study, can devise multiple alternatives for project, each alternative has its distinct allocation human resources. The therefore be selected. Furthermore, incorporates debuggers’ learning negligent factors, both which influence efficiency practice. Accordingly, study considers factors nature errors during debugging process develop growth estimate related costs indicator. Additionally, issue error classification extended considering impacts on system, expected time required remove simple or complex estimated based different truncated exponential distributions. Finally, numerical examples sensitivity analyses performed provide managerial insights useful directions inform release strategies.