A novel software defect prediction approach via weighted classification based on association rule mining

W Wu, S Wang, B Liu, Y Shao, W Xie - Engineering Applications of Artificial …, 2024 - Elsevier
Software defect prediction technology is used to assist software practitioners in effectively
allocating test resources and identifying hidden defects in a timely manner. However, the …

Study of Code Smells: A Review and Research Agenda.

S Tandon, V Kumar, VB Singh - International Journal of …, 2024 - search.ebscohost.com
Code Smells have been detected, predicted and studied by researchers from several
perspectives. This literature review is conducted to understand tools and algorithms used to …

Optimization of Resource Allocation for Detection of Software Architectural Defects

S Tandon, V Kumar, VB Singh - 2024 11th International …, 2024 - ieeexplore.ieee.org
Software defects which bring about depreciation in quality of software without alteration in
the working of the software are known as “Code smells”. The serious outcomes of these …

An Insight into Code Smell Detection Tool

S Mourya, PP Singh, VB Singh - Reliability Engineering for Industrial …, 2024 - Springer
A code smell isn'ta bug and it won't help your system operate exceptionally. It might simply
make it more difficult for software engineers to comprehend and maintain project source …

Considering Multiplicative Noise in a Software Reliability Growth Model Using Stochastic Differential Equation Approach

K Chaudhary, V Kumar, D Kumar, P Kumar - Reliability Engineering for …, 2024 - Springer
A Software reliability growth models are very useful to investigate software reliability
characteristics quantitatively and to establish relationship between the remaining faults in …