Change‐points‐based software scheduling

Proceedings of the Institution of Mechanical Engineers, Part O:

Sharma

Pham

2022

Self Cite

With increasing number of tech-savvy users, the demand for software with advanced features is also growing exponentially. To meet these expectations, software firms are coming up with innovative strategies to attract customers to buy their products and remain loyal. One of the key strategies is to provide product assurance is post-sales support. Software firms provide a warranty to fix the failures encountered during the operational phase for a pre-defined time period. Software reliability literature consists of various modeling framework to decide release time under pre-defined warranty period under the consideration of no post-release testing. Very limited work has been done in the direction of post-release testing with warranty. In this work, we propose a framework to obtain optimal release and warranty time of software to minimize the overall cost under reliability constraint. We have provided the algorithm to obtain the analytical solution of release and warranty time. To make our proposed work more realistic we have considered the change point phenomenon and imperfect debugging of fault in our modeling framework. We have also conducted a sensitivity analysis on the model parameters to check their impact of the firms scheduling strategy. The proposed work is validated on a real-life data set.

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Software reliability and cost models with warranty and life cycle

Proceedings of the Institution of Mechanical Engineers, Part O:

Sharma

Pham

2022

Self Cite

“…Various frameworks have been proposed that give reliability assessment of the safety-critical systems using Bayesian update methodology. 47 A modified NHPP model has also been proposed for OSS reliability modelling and analysis and based on this model and multi-attribute utility theory, optimal version updating for OSS has been examined resulting in a new decision model. 44,46 A framework to model the failure occurrence in OSS is developed to check the reliability growth.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling reliability growth for multi‐version open source software considering varied testing and debugging factors

Saraf

Iqbal

Quality & Reliability Eng

et al. 2021

Self Cite

Due to the continuous dependence of society on technology and the fast growth of Open Source Software (OSS), there is a need for the software industry to shift to multi‐release software development. To include the revisions in user demands and testing environment, factors that affect OSS reliability have to be considered. Here, we propose a quantitative method for assessing the reliability of multi‐release OSS by using Software Reliability Growth Models based on the Non‐Homogenous Poisson Process. Various factors like imperfect debugging, error generation, change‐point have been considered. The model has been estimated on Statistical Package for Social Sciences using three releases of the Apache dataset. It is concluded that the results obtained are improved than the existing ones.

“…This demand has reduced the lifecycle of software; therefore, to be in the market, software firms have to work hard to meet the users’ expectation. To fulfil the need, firms are developing new software with advanced feature and releasing multiple version of the base version by adding functionalities into it (Kapur et al , 2010, Singh et al , 2015; Mishra et al , 2018; Shrivastava and Sachdeva, 2020; Saraf et al ., 2021; Shrivastava and Kapur, 2021). Keeping the base of software same and enhancing the features over regular intervals of time is beneficial for information technology (IT) industry as it avoids the delay in release of product and makes its market life grow long.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Pachauri et al (2019) proposed a framework for developing multi-release of software by incorporating imperfect debugging in fault detection and the correction process and computed the optimal release time using multi-attribute utility theory. Shrivastava et al (2020) and Shrivastava and Kapur (2021) developed a change point-based software cost model to optimize release and testing stop time.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a hybrid software reliability growth model

Sharma²

2021

IJQRM

Self Cite

PurposeThe purpose of this paper is to develop a new software reliability growth model considering different fault distribution function before and after the change point.Design/methodology/approachIn this paper, the authors have developed a framework to incorporate change-point in developing a hybrid software reliability growth model by considering different distribution functions before and after the change point.FindingsNumerical illustration suggests that the proposed model gives better results in comparison to the existing models.Originality/valueThe existing literature on change point-based software reliability growth model assumes that the fault correction trend before and after the change is governed by the same distribution. This seems impractical as after the change in the testing environment, the trend of fault detection or correction may not follow the same trend; hence, the assumption of same distribution function may fail to predict the potential number of faults. The modelling framework assumes different distributions before and after change point in developing a software reliability growth model.