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Testing resource allocation for software with multiple versions

Anand, Adarsh; Das, Subhrata; Ompal Singh; Kumar, Vijay - In: International journal of applied management science : IJAMS 14 (2022) 1, pp. 23-37

Persistent link: https://www.econbiz.de/10012887705

Resource allocation for modular software with concurrent testing and debugging : a control theoretic approach

Kapur, P. K.; Kumar, Vijay - 2011

Persistent link: https://www.econbiz.de/10009718721

Selection of optimal software reliability growth models : a fuzzy DEA ranking approach

Kumar, Vijay; Singh, V. B.; Garg, Ashish; Kumar, Gaurav - In: Quality, It and business operations : modeling and …, (pp. 347-357). 2018

Persistent link: https://www.econbiz.de/10011757469

Testing time and effort-based successive release modeling of a software in the presence of imperfect debugging

Kumar, Vijay; Kapur, P. K.; Sahni, Ramita; Shrivastava, … - In: Quality, It and business operations : modeling and …, (pp. 421-434). 2018

Persistent link: https://www.econbiz.de/10011757506

A hybrid novel fuzzy AHP-TOPSIS technique for selecting parameter-influencing testing in software development

Singh, Veenu; Kumar, Vijay; Singh, V.B. - In: Decision analytics journal 6 (2023), pp. 1-15

Software testing is one of the most important phases in the software development life cycle. Software testing cannot ensure successful outcomes until and unless done perfectly. For enhanced testing, it is extremely important to identify and prioritize the parameters that influence the testing...

Persistent link: https://www.econbiz.de/10014337170

An optimal software enhancement and customer growth model : a control-theoretic approach

Pradhan, Sujit K.; Kumar, Anil; Kumar, Vijay - In: International journal of quality & reliability management 41 (2024) 9, pp. 2333-2350

Persistent link: https://www.econbiz.de/10015202606

Empirical evaluation of code smells in open-source software (OSS) using Best Worst Method (BWM) and TOPSIS approach

Tandon, Stuti; Kumar, Vijay; Singh, V.B. - In: International journal of quality & reliability management 39 (2022) 3, pp. 815-835

Persistent link: https://www.econbiz.de/10013169464