Spectrum-based multi-fault localization using Chaotic Genetic Algorithm

D Ghosh, J Singh - Information and Software Technology, 2021 - Elsevier
Context: In the field of software engineering, the most complex and time consuming activity
is fault-finding. Due to increasing size and complexity of software, there is a necessity of …

A novel approach of software fault prediction using deep learning technique

SC Satapathy, AK Jena, J Singh, S Bilgaiyan… - … Software Engineering: A …, 2020 - Springer
Now-a-days, failure of the software is unavoidable due to increasing size and complexity of
software. So, fault finding is necessary for removing the software faults. Spectrum-based …

Type slicing: An accurate object oriented slicing based on sub-statement level dependence graph

W Lulu, L Bixin, K Xianglong - Information and Software Technology, 2020 - Elsevier
Context Program slicing is very useful in program analysis and software engineering. It
computes the slice, which is a part of program and contains all the statements related to the …

Method level refactoring prediction by weighted-svm machine learning classifier

R Panigrahi, SK Kuanar, L Kumar - … in Conjunction with 18th ICDCIT 2022, 2023 - Springer
Lousy design and development methods in software systems are well-known concepts in
the field of object-oriented software engineering known as “code smells.” New kinds of code …

Test case prioritization using clustering approach for object oriented software

DK Yadav, SK Dutta - … Journal of Information System Modeling and …, 2019 - igi-global.com
In the software maintenance activity, regression testing is performed for validing modified
source code. Regression testing ensures that the modified code would not affect the earlier …

Towards a smart recommender for code refactoring

J Barbosa - 2020 - search.proquest.com
In a world where software products are more complex and software teams bigger, reusable
and maintainable design is increasingly more important to produce high quality and …

Cross-Project Software Refactoring Prediction Using Optimized Deep Learning Neural Network With the Aid of Attribute Selection

R Panighrahi, SK Kuanar, L Kumar - International Journal of Open …, 2022 - igi-global.com
Cross-project refactoring prediction is prominent research that comprises model training
from one project database and testing it for a database under a separate project. While …

Test coverage and impact analysis for detecting refactoring faults: a study on the inline method

I Alazzam, MS Al-Amri - International Journal of Business …, 2019 - inderscienceonline.com
Using refactoring techniques is known as a good practice to enhance the software quality
either by decreasing the complexity or enhance the behaviour of the software. Here, we …

Dynamic slicing of aspect-oriented software: an UML-based approach

A Ray, J Singh - International Journal of Productivity and …, 2020 - inderscienceonline.com
In this paper, we propose a technique to compute the dynamic slice of UML models for
aspect-oriented software. The UML architectural model for aspect-oriented software …