Suneel Kumar Rath¹, Madhusmita Sahu¹, Shom Prasad Das², Junali Jasmine Jena³, Chitralekha Jena⁴, Baseem Khan^5,6,7,*, Ahmed Ali⁷, Pitshou Bokoro⁷

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1513-1536, 2024, DOI:10.32604/csse.2024.057067 - 22 November 2024

Abstract Redundancy, correlation, feature irrelevance, and missing samples are just a few problems that make it difficult to analyze software defect data. Additionally, it might be challenging to maintain an even distribution of data relating to both defective and non-defective software. The latter software class’s data are predominately present in the dataset in the majority of experimental situations. The objective of this review study is to demonstrate the effectiveness of combining ensemble learning and feature selection in improving the performance of defect classification. Besides the successful feature selection approach, a novel variant of the ensemble learning… More >

Malik Muhammad Ali Shahid¹, Shahida Sulaiman², Mohammed Al-Sarem^3,4, Aqeel Ur Rahman¹, Salman Iqbal¹, Rab Nawaz Bashir¹, Arfat Ahmad Khan^5,6, Momen M. Alrawi⁷, Rashiq R. Marie⁸, Settawit Poochaya^5,*

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6641-6663, 2023, DOI:10.32604/cmc.2023.031459 - 28 December 2022

Abstract

Conventionally, the reliability of a web portal is validated with generalized conventional methods, but they fail to provide the desired results. Therefore, we need to include other quality factors that affect reliability such as usability for improving the reliability in addition to the conventional reliability testing. Actually, the primary objectives of web portals are to provide interactive integration of multiple functions confirming diverse requirements in an efficient way. In this paper, we employ testing profiles to measure the reliability through software operational profile, input space profile and usability profile along with qualitative measures of reliability

… More >

Parul Gandhi¹, Mohammad Zubair Khan², Ravi Kumar Sharma³, Omar H. Alhazmi², Surbhi Bhatia^4,*, Chinmay Chakraborty⁵

Computer Systems Science and Engineering, Vol.41, No.3, pp. 891-902, 2022, DOI:10.32604/csse.2022.019943 - 10 November 2021

Abstract Software reliability is the primary concern of software development organizations, and the exponentially increasing demand for reliable software requires modeling techniques to be developed in the present era. Small unnoticeable drifts in the software can culminate into a disaster. Early removal of these errors helps the organization improve and enhance the software’s reliability and save money, time, and effort. Many soft computing techniques are available to get solutions for critical problems but selecting the appropriate technique is a big challenge. This paper proposed an efficient algorithm that can be used for the prediction of software… More >

Kavita Sahu¹, Fahad A. Alzahrani², R. K. Srivastava¹, Rajeev Kumar^3,4,*

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1471-1488, 2021, DOI:10.32604/cmc.2021.014868 - 05 February 2021

Abstract Maintaining software reliability is the key idea for conducting quality research. This can be done by having less complex applications. While developers and other experts have made significant efforts in this context, the level of reliability is not the same as it should be. Therefore, further research into the most detailed mechanisms for evaluating and increasing software reliability is essential. A significant aspect of growing the degree of reliable applications is the quantitative assessment of reliability. There are multiple statistical as well as soft computing methods available in literature for predicting reliability of software. However,… More >