Blockchain-Based Software Effort Estimation: An Empirical Study
Context: The success or failure of any software development project significantly depends on the accuracy of its effort estimates. Software development effort estimation is the foundation for project bidding, budgeting, planning, and cost control. Problem: The literature shows that a lot of work has...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9928164/ |
| _version_ | 1811179864238063616 |
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| author | Mansoor Ahmed Naeem Iqbal Faraz Hussain Murad-Ali Khan Markus Helfert Imran Jungsuk Kim |
| author_facet | Mansoor Ahmed Naeem Iqbal Faraz Hussain Murad-Ali Khan Markus Helfert Imran Jungsuk Kim |
| author_sort | Mansoor Ahmed |
| collection | DOAJ |
| description | Context: The success or failure of any software development project significantly depends on the accuracy of its effort estimates. Software development effort estimation is the foundation for project bidding, budgeting, planning, and cost control. Problem: The literature shows that a lot of work has been done on software effort estimation. But still, there is a need for improvement in effort estimation by introducing new methodologies. The structured group-based and analogy-based effort estimations are the widely used estimation methods. Nevertheless, there are several shortcomings of using these methods such as lack of experts, lack of historical data, and biasness in expert opinion, which negatively affect the estimation results. Motivation: With the advancement of technologies, such limitations could be overcome. Such as leveraging the applicability of blockchain in several domains such as improvement in the software development process and network security. Method: In this article, we have proposed a Blockchain-Based Software Effort Estimation (BBSEE) methodology to improve the software effort estimation. We employ the proposed method using Web and blockchain technologies. Moreover, we also proposed evaluation criteria to assess the efficacy of the proposed method in terms of Mean Magnitude of Relative Error (MMRE), Mean Absolute Error (MAE) and percentage of successful predictions falling (PRED (25)). Result: We performed several case studies and analyses of expert opinions of 52 organizations to present the efficacy of the proposed method. Conclusion: We observe that the BBSEE method outperforms expert judgment and analogy-based effort estimation methodologies in terms of software effort estimation. |
| first_indexed | 2024-04-11T06:41:41Z |
| format | Article |
| id | doaj.art-a40003dc105f488594af89a41c49cb04 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T06:41:41Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a40003dc105f488594af89a41c49cb042022-12-22T04:39:31ZengIEEEIEEE Access2169-35362022-01-011012041212042510.1109/ACCESS.2022.32168409928164Blockchain-Based Software Effort Estimation: An Empirical StudyMansoor Ahmed0https://orcid.org/0000-0003-2034-1403Naeem Iqbal1https://orcid.org/0000-0003-2749-6344Faraz Hussain2https://orcid.org/0000-0003-2641-276XMurad-Ali Khan3Markus Helfert4 Imran5https://orcid.org/0000-0002-6197-1025Jungsuk Kim6https://orcid.org/0000-0001-5866-465XADAPT Centre, Innovation Value Institute, Maynooth University, Maynooth, IrelandDepartment of Computer Engineering, Jeju National University, Jeju, Republic of KoreaDepartment of Computer Science, COMSATS University, Federal Capital, Islamabad, PakistanDepartment of Computer Engineering, Jeju National University, Jeju, Republic of KoreaDepartment of Biomedical Engineering, Gachon University, Incheon, Republic of KoreaDepartment of Biomedical Engineering, Gachon University, Incheon, Republic of KoreaDepartment of Biomedical Engineering, Gachon University, Incheon, Republic of KoreaContext: The success or failure of any software development project significantly depends on the accuracy of its effort estimates. Software development effort estimation is the foundation for project bidding, budgeting, planning, and cost control. Problem: The literature shows that a lot of work has been done on software effort estimation. But still, there is a need for improvement in effort estimation by introducing new methodologies. The structured group-based and analogy-based effort estimations are the widely used estimation methods. Nevertheless, there are several shortcomings of using these methods such as lack of experts, lack of historical data, and biasness in expert opinion, which negatively affect the estimation results. Motivation: With the advancement of technologies, such limitations could be overcome. Such as leveraging the applicability of blockchain in several domains such as improvement in the software development process and network security. Method: In this article, we have proposed a Blockchain-Based Software Effort Estimation (BBSEE) methodology to improve the software effort estimation. We employ the proposed method using Web and blockchain technologies. Moreover, we also proposed evaluation criteria to assess the efficacy of the proposed method in terms of Mean Magnitude of Relative Error (MMRE), Mean Absolute Error (MAE) and percentage of successful predictions falling (PRED (25)). Result: We performed several case studies and analyses of expert opinions of 52 organizations to present the efficacy of the proposed method. Conclusion: We observe that the BBSEE method outperforms expert judgment and analogy-based effort estimation methodologies in terms of software effort estimation.https://ieeexplore.ieee.org/document/9928164/Software effort estimationblockchainblockchain-based software engineeringanalogy-based estimationgroup-based estimationestimation error |
| spellingShingle | Mansoor Ahmed Naeem Iqbal Faraz Hussain Murad-Ali Khan Markus Helfert Imran Jungsuk Kim Blockchain-Based Software Effort Estimation: An Empirical Study IEEE Access Software effort estimation blockchain blockchain-based software engineering analogy-based estimation group-based estimation estimation error |
| title | Blockchain-Based Software Effort Estimation: An Empirical Study |
| title_full | Blockchain-Based Software Effort Estimation: An Empirical Study |
| title_fullStr | Blockchain-Based Software Effort Estimation: An Empirical Study |
| title_full_unstemmed | Blockchain-Based Software Effort Estimation: An Empirical Study |
| title_short | Blockchain-Based Software Effort Estimation: An Empirical Study |
| title_sort | blockchain based software effort estimation an empirical study |
| topic | Software effort estimation blockchain blockchain-based software engineering analogy-based estimation group-based estimation estimation error |
| url | https://ieeexplore.ieee.org/document/9928164/ |
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