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Software defect prediction using over-sampling and feature extraction based on Mahalanobis distance
As the size of software projects becomes larger, software defect prediction (SDP) will play a key role in allocating testing resources reasonably,...
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An empirical study of ensemble techniques for software fault prediction
Previously, many researchers have performed analysis of various techniques for the software fault prediction (SFP). Oddly, the majority of such...
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A public unified bug dataset for java and its assessment regarding metrics and bug prediction
Bug datasets have been created and used by many researchers to build and validate novel bug prediction models. In this work, our aim is to collect...
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Object-Oriented Metrics for Defect Prediction
Today, defect prediction is an important part of software industry to meet deadlines for their products. Defect prediction techniques help the...
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The impact of feature reduction techniques on defect prediction models
Defect prediction is an important task for preserving software quality. Most prior work on defect prediction uses software features, such as the...
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Learning actionable analytics from multiple software projects
The current generation of software analytics tools are mostly prediction algorithms (e.g. support vector machines, naive bayes, logistic regression,...
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Is Bigger Data Better for Defect Prediction: Examining the Impact of Data Size on Supervised and Unsupervised Defect Prediction
Defect prediction could help software practitioners to predict the future occurrence of bugs in the software code regions. In order to improve the...
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Diverse Bagging Effort Estimation Model for Software Development Project
Creating successful projects is challenging and estimation of software development efforts is thus an important activity of the software engineering...
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Typical Hypergraph Computation Tasks
After hypergraph structure generation for the data, the next step is how to conduct data analysis on the hypergraph. In this chapter, we introduce...
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Software Defect Prediction Model Based on GA-BP Algorithm
The novel software defect prediction model based on GA-BP algorithm was proposed in the paper considering the disadvantage of traditional BP...
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Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities
Cloud computing is the most recent smart city advancement, made possible by the increasing volume of heterogeneous data produced by apps. More...
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IT2F-SEDNN: an interval type-2 fuzzy logic-based stacked ensemble deep learning approach for early phase software dependability analysis
The growing size, complexity of software systems, and complex development process pose a difficult challenge in predicting dependability attributes...
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On understanding and predicting issue links
Stakeholders in software projects use issue trackers like JIRA or Bugzilla to capture and manage issues, including requirements, feature requests,...
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A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction
Cross-project defect prediction (CPDP) uses the labeled data from external source software projects to compensate the shortage of useful data in the...
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Computational intelligence for estimating software development effort: a systematic map** study
Software development effort estimation (SDEE) is critical for predicting the required resource investment. Since the late 2000s, numerous studies...
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Fusing structural information with knowledge enhanced text representation for knowledge graph completion
Although knowledge graphs store a large number of facts in the form of triplets, they are still limited by incompleteness. Hence, Knowledge Graph...
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On the value of parameter tuning in stacking ensemble model for software regression test effort estimation
A type of software testing, regression testing is often costly and labour-intensive. As such, multiple corporations have intensified efforts to...
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A Hybrid Machine Learning Framework for Prediction of Software Effort at the Initial Phase of Software Development
In the era of software application, the prediction of the effort of software plays an essential role in the success of project software. The...
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A Tertiary Study on AI for Requirements Engineering
Context and Motivation: Rapid advancements in Artificial Intelligence (AI) have significantly influenced requirements engineering (RE) practices....
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The Merging of Knowledge Management and New Information Technologies
The integration of new information technologies and manufacturing systems provides a driving force for the promotion of a new paradigm of knowledge...