A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System
Complex software systems that support organizations are updated regularly, which can erode system architectures. Moreover, documentation is rarely synchronized with the changes to the software system. This creates a slew of issues for future software maintenance. To this goal, information extraction...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/8640596 |
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| author | Muhammad Zakir Khan Rashid Naseem Aamir Anwar Ijaz Ul Haq Ahmad Alturki Syed Sajid Ullah Suheer A. Al-Hadhrami |
| author_facet | Muhammad Zakir Khan Rashid Naseem Aamir Anwar Ijaz Ul Haq Ahmad Alturki Syed Sajid Ullah Suheer A. Al-Hadhrami |
| author_sort | Muhammad Zakir Khan |
| collection | DOAJ |
| description | Complex software systems that support organizations are updated regularly, which can erode system architectures. Moreover, documentation is rarely synchronized with the changes to the software system. This creates a slew of issues for future software maintenance. To this goal, information extraction tools use exact approaches to extract entities and their corresponding relationships from source code. Such exact approaches extract all features, including those that are less prominent and may not be significant for modularization. In order to resolve the issue, this work proposes an enhanced approximate information extraction approach, namely, fact extractor system for Java applications (FESJA) that aims to automate software modularization using a fact extraction system. The proposed FESJA technique extracts all the entities along with their corresponding more dominant formal and informal relationships from a Java source code. Results demonstrate the improved performance of FESJA, by extracting 74 (classes), 43 (interfaces), and 31 (enumeration), in comparison with eminent information extraction techniques. |
| format | Article |
| id | doaj-art-d89ec2e1537944e69cf13918b71adc5d |
| institution | OA Journals |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-d89ec2e1537944e69cf13918b71adc5d2025-08-20T02:20:58ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/8640596A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction SystemMuhammad Zakir Khan0Rashid Naseem1Aamir Anwar2Ijaz Ul Haq3Ahmad Alturki4Syed Sajid Ullah5Suheer A. Al-Hadhrami6James Watt School of EngineeringDepartment of Computer ScienceSchool of Computing and EngineeringFaculty of EducationSTC’s Artificial Intelligence ChairDepartment of Information and Communication TechnologyDepartment of Computer EngineeringComplex software systems that support organizations are updated regularly, which can erode system architectures. Moreover, documentation is rarely synchronized with the changes to the software system. This creates a slew of issues for future software maintenance. To this goal, information extraction tools use exact approaches to extract entities and their corresponding relationships from source code. Such exact approaches extract all features, including those that are less prominent and may not be significant for modularization. In order to resolve the issue, this work proposes an enhanced approximate information extraction approach, namely, fact extractor system for Java applications (FESJA) that aims to automate software modularization using a fact extraction system. The proposed FESJA technique extracts all the entities along with their corresponding more dominant formal and informal relationships from a Java source code. Results demonstrate the improved performance of FESJA, by extracting 74 (classes), 43 (interfaces), and 31 (enumeration), in comparison with eminent information extraction techniques.http://dx.doi.org/10.1155/2022/8640596 |
| spellingShingle | Muhammad Zakir Khan Rashid Naseem Aamir Anwar Ijaz Ul Haq Ahmad Alturki Syed Sajid Ullah Suheer A. Al-Hadhrami A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System Journal of Mathematics |
| title | A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System |
| title_full | A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System |
| title_fullStr | A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System |
| title_full_unstemmed | A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System |
| title_short | A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System |
| title_sort | novel approach to automate complex software modularization using a fact extraction system |
| url | http://dx.doi.org/10.1155/2022/8640596 |
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