s-Shaped Software Reliability Growth Models and Their Applications

Yamada, Shigeru; Ohba, Mitsuru; Osaki, Shunji

doi:10.1109/tr.1984.5221826

Cited by 244 publications

(73 citation statements)

References 5 publications

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“…This model is known as Yamada delayed S-shaped model [46], [47]. The model is a finite failure model.…”

Section: Delayed S-shaped Model (Dssm)mentioning

confidence: 99%

Estimating the Parameters of Software Reliability Growth Models Using the Grey Wolf Optimization Algorithm

Sheta¹,

Abdel-Raouf²

2016

ijacsa

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Abstract-In this age of technology, building quality software is essential to competing in the business market. One of the major principles required for any quality and business software product for value fulfillment is reliability. Estimating software reliability early during the software development life cycle saves time and money as it prevents spending larger sums fixing a defective software product after deployment. The Software Reliability Growth Model (SRGM) can be used to predict the number of failures that may be encountered during the software testing process. In this paper we explore the advantages of the Grey Wolf Optimization (GWO) algorithm in estimating the SRGM's parameters with the objective of minimizing the difference between the estimated and the actual number of failures of the software system. We evaluated three different software reliability growth models: the Exponential Model (EXPM), the Power Model (POWM) and the Delayed S-Shaped Model (DSSM). In addition, we used three different datasets to conduct an experimental study in order to show the effectiveness of our approach.

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“…This model is known as Yamada delayed S-shaped model [46], [47]. The model is a finite failure model.…”

Section: Delayed S-shaped Model (Dssm)mentioning

confidence: 99%

Estimating the Parameters of Software Reliability Growth Models Using the Grey Wolf Optimization Algorithm

Sheta¹,

Abdel-Raouf²

2016

ijacsa

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“…The first type is modeled by an Exponentional model of Goel and Okumoto [1]. The second type is modeled by Delayed S-shaped model of Yamada et al [5]. The third type is modeled by three stage Erlang model proposed by Khoshogoftaar [4].…”

Section: Nhpp Based Software Reliability Growth Modelsmentioning

confidence: 99%

Review on Software Reliability Growth Models and Software Release Planning

Upadhyay¹,

Johri²

2013

IJCA

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In this paper, Software Reliability Engineering is a field that developed from ancestry in the reliability disciplines of structural, electrical, and hardware engineering. Reliability models are powerful tools of Software Reliability Engineering for estimating, predicting, devious, and assessing software reliability. On the basis of the review the cataloging of software reliability models has been presented as a major part. This categorization is based on the various dimensions of reliability models. Models under review reflect either infinite or finite number of failures. This paper discusses a twodimensional software reliability growth modeling framework. We measured that an actual software reliability growth progression depends not only on testing time but also on testing effort and also enables us to portray software release planning problem in software reliability growth process. Thus, we can say that software project managers can demeanor more viable and accurate software reliability appraisal by using two-dimensional SRGM. General TermsSRGM(Software Reliability Growth Model), Software Release Planning.

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“…In this area the software reiiability assessment is very important to measure and predict the reiiability and performance of a software System. Several reiiability models have been proposed and investigated in recent years (Goei and Okumoto [5], Jelinski and Moranda [6], Kremer [7], Littlewood [8], Moranda [9], Musa [10], Schick and Wolvertoi> [15], Shanthikumar [16], Shooman [17], Yamada and Osaki [19], and so on). These models attempt to estimate the error content of a software system and the time interval between software failures, and to predict the software reliability.…”

Section: Introductionmentioning

confidence: 99%