Academic Journal
Resource Allocation Modeling Framework to Refactor Software Design Smells
| Title: | Resource Allocation Modeling Framework to Refactor Software Design Smells |
|---|---|
| Authors: | Priyanka Gupta, Adarsh Anand, Mohamed Arezki Mellal |
| Source: | International Journal of Mathematical, Engineering and Management Sciences, Vol 8, Iss 2, Pp 213-229 (2023) |
| Publisher Information: | Ram Arti Publishers, 2023. |
| Publication Year: | 2023 |
| Subject Terms: | FOS: Computer and information sciences, Technology, Code Clone Detection, Refactoring, Computer Networks and Communications, Resource (disambiguation), 0211 other engineering and technologies, Software Defect Prediction, Software quality, Set (abstract data type), 02 engineering and technology, Code smell, 12. Responsible consumption, 11. Sustainability, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, refactoring process, Software design, Code (set theory), Source Code Analysis, Software construction, Computer network, Software engineering, 9. Industry and infrastructure, Software evolution, resource allocation optimization problem, Software development, Computer science, 6. Clean water, Programming language, 13. Climate action, Log Analysis and System Performance Diagnosis, Code refactoring, nhpp modeling framework, Computer Science, Physical Sciences, code smells, Software system, Software Reliability Modeling, Software Reliability Assessment and Prediction, Mathematics, Software, Empirical Studies in Software Engineering, Information Systems |
| Description: | The domain to study design flaws in the software environment has created enough opportunity for the researchers. These design flaws i.e., code smells, were seen hindering the quality aspects of the software in many ways. Once detected, the segment of the software which was found to be infected with such a flaw has to be passed through some refactoring steps in order to remove it. To know about their working phenomenon in a better way, authors have innovatively talked about the smell detection mechanism using the NHPP modeling framework. Further the authors have also chosen to investigate about the amount of resources/efforts which should be allotted to various code smell categories. The authors have developed an optimization problem for the said purpose which is being validated on the real-life smell data set belonging to an open-source software system. The obtained results are in acceptable range and are justifying the applicability of the model. |
| Document Type: | Article Other literature type |
| Language: | English |
| ISSN: | 2455-7749 |
| DOI: | 10.33889/ijmems.2023.8.2.013 |
| DOI: | 10.60692/v4mjq-zek58 |
| DOI: | 10.60692/rvgfm-sp527 |
| Access URL: | https://doaj.org/article/32585ae06b874e98ba07e9cbc6f60e9c https://doi.org/10.33889/IJMEMS.2023.8.2.013 |
| Accession Number: | edsair.doi.dedup.....35f65b9f58567db3d59ee5a921c7881c |
| Database: | OpenAIRE |
| ISSN: | 24557749 |
|---|---|
| DOI: | 10.33889/ijmems.2023.8.2.013 |