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A Framework for Defect Prediction in Specific Software Project Contexts
Part 8: QualityInternational audienceSoftware defect prediction has drawn the attention of many researchers in empirical software engineering and software maintenance due to its importance in providing quality estimates and to identify the needs for ...
Wahyudin, Dindin +2 more
core +2 more sources
Analysis of Feature Selection Methods in Software Defect Prediction Models
Improving software quality by proactively detecting potential defects during development is a major goal of software engineering. Software defect prediction plays a central role in achieving this goal.
Misbah Ali +6 more
semanticscholar +1 more source
Extracting software static defect models using data mining
Large software projects are subject to quality risks of having defective modules that will cause failures during the software execution. Several software repositories contain source code of large projects that are composed of many modules. These software
Ahmed H. Yousef
doaj +1 more source
Software Defect Density Prediction Using Deep Learning
Delivering a reliable and high-quality software system to client is a big challenge in software development and evolution process. One of the software measures that confirm the quality of the system is the defect density.
Firas Alghanim +3 more
doaj +1 more source
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Software defect prediction is becoming key for software quality assurance. Traditional software defect prediction approaches have predominantly focused on analyzing code-level metrics, often overlooking valuable information available during the ...
Hanan Helwa, Adel Taweel
doaj +1 more source
Software Defect Prediction by Online Learning Considering Defect Overlooking
2 ...
Yamasaki, Yuta +7 more
openaire +3 more sources
Software Defect Prediction Using an Intelligent Ensemble-Based Model
Software defect prediction plays a crucial role in enhancing software quality while achieving cost savings in testing. Its primary objective is to identify and send only defective modules to the testing stage.
Misbah Ali +7 more
semanticscholar +1 more source
Towards Reliable Online Just-in-Time Software Defect Prediction
Throughout its development period, a software project experiences different phases, comprises modules with different complexities and is touched by many different developers.
George G. Cabral, Leandro L. Minku
semanticscholar +1 more source
We develop a new SBST technique, predictive many objective sorting algorithm (PreMOSA), which augments coverage information with defect prediction information to decide where to increase the test coverage in the class under test (CUT).
Anjana Perera (11379750) +3 more
core +1 more source

