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Predicting the precise number of software defects: Are we there yet?
Abstract Context: Defect Number Prediction (DNP) models can offer more benefits than
classification-based defect prediction. Recently, many researchers proposed to employ …
classification-based defect prediction. Recently, many researchers proposed to employ …
Software fault localization: An overview of research, techniques, and tools
This chapter describes traditional and intuitive fault localization techniques, including
program logging, assertions, breakpoints, and profiling. Many advanced fault localization …
program logging, assertions, breakpoints, and profiling. Many advanced fault localization …
Demystifying faulty code: Step-by-step reasoning for explainable fault localization
Fault localization is a critical process that involves identifying specific program elements
responsible for program failures. Manually pinpointing these elements, such as classes …
responsible for program failures. Manually pinpointing these elements, such as classes …
A multi-objective effort-aware defect prediction approach based on NSGA-II
Abstract Effort-Aware Defect Prediction (EADP) technique sorts software modules by the
defect density and aims to find more bugs when testing a certain number of Lines of Code …
defect density and aims to find more bugs when testing a certain number of Lines of Code …
Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization
Fault localization is a critical process that involves identifying specific program elements
responsible for program failures. Manually pinpointing these elements, such as classes …
responsible for program failures. Manually pinpointing these elements, such as classes …
An empirical study of learning to rank techniques for effort-aware defect prediction
Effort-Aware Defect Prediction (EADP) ranks software modules based on the possibility of
these modules being defective, their predicted number of defects, or defect density by using …
these modules being defective, their predicted number of defects, or defect density by using …
Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer
Stack Overflow is one of the most popular programming communities where developers can
seek help for their encountered problems. Nevertheless, if inexperienced developers fail to …
seek help for their encountered problems. Nevertheless, if inexperienced developers fail to …
Using sum product networks to predict defects in software systems
Software defect prediction techniques are utilized in the early stages of the software
development process to reduce costs and save time on corrective maintenance activities …
development process to reduce costs and save time on corrective maintenance activities …
Revisiting 'revisiting supervised methods for effort‐aware cross‐project defect prediction'
Effort‐aware cross‐project defect prediction (EACPDP), which uses cross‐project software
modules to build a model to rank within‐project software modules based on the defect …
modules to build a model to rank within‐project software modules based on the defect …
Hierarchically localizing software faults using DNN
In this article, we propose a hierarchical fault localization technique using a deep neural
network (DNN). First, we prioritize the functions of a program based on their suspiciousness …
network (DNN). First, we prioritize the functions of a program based on their suspiciousness …