Optimal Release Time of Computer Software

Koch, Harvey S.; Kubat, Peter

doi:10.1109/tse.1983.236868

Cited by 99 publications

(43 citation statements)

References 5 publications

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“…There is a vast amount of literature on the subject as referenced in the survey byÖzekici and Ç atkan [11]. The reader is referred to Forman and Singpurwalla [4], Koch and Kubat [6], Yamada and Osaki [20], Ross [15], Bai and Yun [1], and Brown, Maghsoodloo, and Deason [2] for some examples.…”

Section: Optimal Testing Strategymentioning

confidence: 99%

Bayesian testing strategies for software with an operational profile

Özekıcı

Soyer

2001

Naval Research Logistics

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Abstract:We consider a software reliability model where the failure rate of each fault depends on the specific operation performed. The software is tested in a given sequence of test cases for fixed durations of time to collect data on failure times. We present a Bayesian analysis of software failure data by treating the initial number of faults as a random variable. Our analysis relies on the Markov Chain Monte Carlo methods and is used for developing optimal testing strategies in an adaptive manner. Two different models involving individual and common faults are analyzed. We illustrate an implementation of our approach by using some simulated failure data.

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Section: Optimal Testing Strategymentioning

confidence: 99%

Bayesian testing strategies for software with an operational profile

Özekıcı

Soyer

2001

Naval Research Logistics

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“…(7) by substituting L 0 T into Eq. (6). In all of the conventional methods of solving the optimal software release problem, the above procedure has been used [512].…”

Section: Optimal Software Release Problemmentioning

confidence: 99%

“…Generally this type of problem is called the optimal software release problem, where the release time which minimizes the total software cost is estimated. Okumoto and Goel [5], Koch and Kubat [6], Yamada and Osaki [7,8], Yamada and colleagues [911], and Shinohara and colleagues [12] have presented detailed discussions of the optimal software release problem based on software reliability growth models © 2000 Scripta Technica Electronics and Communications in Japan, Part 3, Vol. 83, No.…”

Section: Introductionmentioning

confidence: 99%

Geometrical solution methods for an optimal software release problem using artificial neural networks

Nishio

Shinohara

Osaki

2000

Electron. Comm. Jpn. Pt. III

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“…There have been several quantitative studies on optimal software release timing [4], [5], [6], but these usually use various models of fault density and development rates which in practice can exhibit a high amount of variance. Additionally, these techniques require as input development and fault models which are difficult to develop and rarely readily available.…”

Section: Introductionmentioning

confidence: 99%

Release engineering practices and pitfalls

Wright

Perry

2012

2012 34th International Conference on Software Engineering (ICSE)

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Abstract-The release and deployment phase of the software development process is often overlooked as part of broader software engineering research. In this paper, we discuss early results from a set of multiple semi-structured interviews with practicing release engineers. Subjects for the interviews are drawn from a number of different commercial software development organizations, and our interviews focus on why release process faults and failures occur, how organizations recover from them, and how they can be predicted, avoided or prevented in the future. Along the way, the interviews provide insight into the state of release engineering today, and interesting relationships between software architecture and release processes.

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Optimal Release Time of Computer Software

Cited by 99 publications

References 5 publications

Bayesian testing strategies for software with an operational profile

Bayesian testing strategies for software with an operational profile

Geometrical solution methods for an optimal software release problem using artificial neural networks

Release engineering practices and pitfalls

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