Selection of Optimal Software Reliability Growth Models: A Fuzzy DEA Ranking Approach
Over the last 40 years, many software reliability growth models (SRGMs) have been proposed to estimate the reliability measures such as remaining number of faults, software failure rate, software reliability, and release time of software. Selection of an
- PDF / 212,076 Bytes
- 11 Pages / 439.36 x 666.15 pts Page_size
- 30 Downloads / 237 Views
1 Introduction The software reliability valuation is essential to estimate and forecast the trust ability and working of a software system. Nowadays, software plays an important role in our daily lives. Therefore, software companies are concerned with consumer’s requirement, quality of the product, and timely delivery of product. Also, the increasing use of software system in critical application requires that the reliability of this system must be so high that the system performance does not stance hazard to human life. Software reliability is the most essential feature to analyze the performance of software, and it is also very difficult to find out whether the software being delivered is consistent or not. The users or purchaser feedback, i.e., trouble news, system aging, and complaints or compliments, indicates the reliability of any software product. In order to estimate the reliability, cost, and release time of software, the software reliability growth models (SRGMs) play a vital role. Superlatively, SRGMs give an idea of symbolizing the development process and permit software engineers to estimate about the excepted future trust ability of software which is under process. Such methods permit managers to precisely assign time, money, and human resources to a project, in critical business
V. Kumar () Department of Mathematics, Amity School of Engineering & Technology, New Delhi, India e-mail: [email protected] V.B. Singh Delhi College of Arts & Commerce, University of Delhi, Delhi, India e-mail: [email protected] A. Garg • G. Kumar Department of Electronics & Communication Engineering, Amity School of Engineering & Technology, New Delhi, India e-mail: [email protected]; [email protected] © Springer Nature Singapore Pte Ltd. 2018 P.K. Kapur et al. (eds.), Quality, IT and Business Operations, Springer Proceedings in Business and Economics, DOI 10.1007/978-981-10-5577-5_28
347
348
V. Kumar et al.
application, and judge when a portion of software has reached a point. At present, numbers of SRGMs increase rapidly every year, but in spite of this, there is no model that is applicable in all cases. In general, the existing SRGMs are data set dependent; hence, it is not possible to recognize in advance about any model which has to be used in a specified case. Therefore, the ranking of SRGMs is a need for the software mangers, i.e., which SRGM to be used for a specific data set. We present here a fuzzy data envelopment analysis (DEA) ranking approach for assortment and ranking of different nonhomogeneous Poisson process (NHPP)based SRGMs. Fuzzy DEA is a tool to compare the performance of a set of activities or organizations under uncertain environment. It is a very effective method to evaluate the relative efficiency of decision-making units (DMUs), since the data of production processes cannot be precisely measured in some cases; the uncertain theory has played an important role in DEA. Further, this paper is organized as follows: Sect. 2 provides the literature about the SRGMs. In Sec
Data Loading...
