Volume-3 Issue-2, July 2023 – Indian Journal of Software Engineering and Project Management (IJSEPM) https://www.ijsepm.latticescipub.com Exploring Innovation | ISSN: 2582-8339 (Online) | A Periodical Journal | Reg. No: C/1383209 | Published by Lattice Science Publication (LSP) Fri, 18 Aug 2023 10:17:48 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.ijsepm.latticescipub.com/wp-content/uploads/2021/01/cropped-IJSEPM-logo-WF-S-32x32.png Volume-3 Issue-2, July 2023 – Indian Journal of Software Engineering and Project Management (IJSEPM) https://www.ijsepm.latticescipub.com 32 32 B76520712223 https://www.ijsepm.latticescipub.com/portfolio-item/b76520712223/ Sat, 29 Jul 2023 06:24:50 +0000 https://www.ijsepm.latticescipub.com/?post_type=portfolio&p=993 The Indian Journal of Software Engineering and Project Management (IJSEPM) has ISSN 2582-8339 (online) which is an online, open access, peer reviewed, periodical half yearly international journal. This journal is published by Lattice Science Publication (LSP) in the months of January and July. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Software Engineering and Project Management that covers Software Life Cycles Development Models, Project Planning and Management, Software Requirements Analysis, Software Design Analysis, Software Testing and Integration, Software Implementation and Maintenance, Software Maintenance and Maintainability, Software Metrics or Attributes, Software Risk Assessment and Containment, Reliability, Software Quality and Quality Assurance, Software Cost Estimation, Object Oriented Developments, Object Oriented Metrics, Object Oriented Testing and Formal Notations. Author (s) can submit articles electronically round the year. The Editors reserve the right to reject articles without sending them out for review. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. Briefs and research notes are not published in this journal. Submitted articles must be within the scope of the journal. All articles go through a double-blind peer review policy. After the final acceptance of the article, based upon the detailed review process and submission of required documents, the article will publish online immediately. However, the assignment of the article of specific issue (see archive) will be taken up by the editors later; and the author will be intimated accordingly. For theme based special issues, time bound special calls for articles will be announced. #Ethics of Software Engineering and Management #Software Life Cycles Development Models #Project Planning and Management #Software Requirements Analysis #Software Design Analysis #Software Testing and Integration #Software Implementation and Maintenance #Software Maintenance and Maintainability #Software Metrics or Attributes #Software Risk Assessment and Containment #Reliability #Software Quality and Quality Assurance #Software Cost Estimation #Object Oriented Developments #Object Oriented Metrics #Object Oriented Testing #Formal Notations #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

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]]> The Indian Journal of Software Engineering and Project Management (IJSEPM) has ISSN 2582-8339 (online) which is an online, open access, peer reviewed, periodical half yearly international journal. This journal is published by Lattice Science Publication (LSP) in the months of January and July. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Software Engineering and Project Management that covers Software Life Cycles Development Models, Project Planning and Management, Software Requirements Analysis, Software Design Analysis, Software Testing and Integration, Software Implementation and Maintenance, Software Maintenance and Maintainability, Software Metrics or Attributes, Software Risk Assessment and Containment, Reliability, Software Quality and Quality Assurance, Software Cost Estimation, Object Oriented Developments, Object Oriented Metrics, Object Oriented Testing and Formal Notations. Author (s) can submit articles electronically round the year. The Editors reserve the right to reject articles without sending them out for review. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. Briefs and research notes are not published in this journal. Submitted articles must be within the scope of the journal. All articles go through a double-blind peer review policy. After the final acceptance of the article, based upon the detailed review process and submission of required documents, the article will publish online immediately. However, the assignment of the article of specific issue (see archive) will be taken up by the editors later; and the author will be intimated accordingly. For theme based special issues, time bound special calls for articles will be announced. #Ethics of Software Engineering and Management #Software Life Cycles Development Models #Project Planning and Management #Software Requirements Analysis #Software Design Analysis #Software Testing and Integration #Software Implementation and Maintenance #Software Maintenance and Maintainability #Software Metrics or Attributes #Software Risk Assessment and Containment #Reliability #Software Quality and Quality Assurance #Software Cost Estimation #Object Oriented Developments #Object Oriented Metrics #Object Oriented Testing #Formal Notations #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

A Comparative Study of Different Software Complexity Metrics in Measuring Software InteroperabilityCROSSMARK Color horizontal
Udara Rangika Herath1, Dilshan De Silva2, Virajini Godapitiya3, Piumi Navoda Wanni Arachchige4, Heshan Kotuwe Gedara5, Rashmi Premadasa6

1Udara Rangika Herath, Department of Information Technology, Sri Lanka Institute of Information Technology, Colombo,Western Province, Sri Lanka.

2Dilshan De Silva, Department of Information Technology, Sri Lanka Institute of Information Technology, Colombo, Western Province, Sri Lanka.

3Virajini Godapitiya, Department of Information Technology, Sri Lanka Institute of Information Technology, Colombo, Western Province, Sri Lanka.

4Piumi Navoda Wanni Arachchige, Department of Information Technology, Sri Lanka Institute of Information Technology, Colombo, Western Province, Sri Lanka.

5Heshan Kotuwe Gedara, Department of Information Technology, Sri Lanka Institute of Information Technology, Colombo,Western Province, Sri Lanka.

6Rashmi Premadasa, Department of Information Technology, Sri Lanka Institute of Information Technology, Colombo, Western Province, Sri Lanka.

Manuscript received on 02 May 2023 | Revised Manuscript received on 08 July 2023 | Manuscript Accepted on 15 July 2023 | Manuscript published on 30 July 2023 | PP: 1-4 | Volume-3 Issue-2, July 2023 | Retrieval Number: 100.1/ijsepm.B76520712223 | DOI: 10.54105/ijsepm.B7652.073223

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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Software interoperability is crucial for organizations that rely on multiple software systems to perform their operations. However, due to the complexity and variety of software systems, ensuring interoperability can be difficult. Measuring software complexity metrics can be used to identify potential problems and assess how well different interoperability strategies work. In this study, we investigated and compared the effectiveness of different software complexity metrics in measuring software interoperability. We used statistical methods to analyze data collected from a sample of software systems. The results of our study show that certain metrics, such as coupling and cohesion, are more effective than others in measuring software interoperability. By selecting appropriate metrics, developers can ensure better productivity, lower costs, and more adaptable use of software systems. The findings of this study have implications for the creation of software and can guide businesses in choosing the right criteria to achieve software interoperability.

Keywords: Complexity Metrics, Software Interoperability.
Scope of the Article: Software Testing and Integration

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