A review article on software effort estimation in agile methodology
Currently, Agile software development method has been commonly used in software development projects, and the success rate is higher than waterfall projects. The effort estimation in Agile is still a challenge because most existing means are developed based on the conventional method. Therefore, thi...
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/31907/ http://umpir.ump.edu.my/id/eprint/31907/1/A%20review%20article%20on%20software%20effort%20estimation%20in%20agile%20methodology.pdf |
| _version_ | 1848823887544975360 |
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| author | Sudarmaningtyas, Pantjawati Rozlina, Mohamed |
| author_facet | Sudarmaningtyas, Pantjawati Rozlina, Mohamed |
| author_sort | Sudarmaningtyas, Pantjawati |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Currently, Agile software development method has been commonly used in software development projects, and the success rate is higher than waterfall projects. The effort estimation in Agile is still a challenge because most existing means are developed based on the conventional method. Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. The results showed the top three estimation that is applied in Agile, are machine learning (37%), Expert Judgement (26%), and Algorithmic (21%). The implementation of all machine learning methods used a hybrid approach, which is a combination of machine learning and expert judgement, or a mix of two or more machine learning. Meanwhile, the implementation of effort estimation through a hybrid approach was only used in 47% of relevant articles. In addition, effort estimation in Agile involved twenty-four attributes, where Complexity, Experience, Size, and Time are the most commonly used and implemented. |
| first_indexed | 2025-11-15T03:04:17Z |
| format | Article |
| id | ump-31907 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:04:17Z |
| publishDate | 2021 |
| publisher | Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-319072025-07-22T04:26:20Z http://umpir.ump.edu.my/id/eprint/31907/ A review article on software effort estimation in agile methodology Sudarmaningtyas, Pantjawati Rozlina, Mohamed QA76 Computer software Currently, Agile software development method has been commonly used in software development projects, and the success rate is higher than waterfall projects. The effort estimation in Agile is still a challenge because most existing means are developed based on the conventional method. Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. The results showed the top three estimation that is applied in Agile, are machine learning (37%), Expert Judgement (26%), and Algorithmic (21%). The implementation of all machine learning methods used a hybrid approach, which is a combination of machine learning and expert judgement, or a mix of two or more machine learning. Meanwhile, the implementation of effort estimation through a hybrid approach was only used in 47% of relevant articles. In addition, effort estimation in Agile involved twenty-four attributes, where Complexity, Experience, Size, and Time are the most commonly used and implemented. Universiti Putra Malaysia 2021-04 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/31907/1/A%20review%20article%20on%20software%20effort%20estimation%20in%20agile%20methodology.pdf Sudarmaningtyas, Pantjawati and Rozlina, Mohamed (2021) A review article on software effort estimation in agile methodology. Pertanika Journal of Science & Technology (JST), 29 (2). 837 -861. ISSN 0128-7680. (Published) https://doi.org/10.47836/pjst.29.2.08 https://doi.org/10.47836/pjst.29.2.08 |
| spellingShingle | QA76 Computer software Sudarmaningtyas, Pantjawati Rozlina, Mohamed A review article on software effort estimation in agile methodology |
| title | A review article on software effort estimation in agile methodology |
| title_full | A review article on software effort estimation in agile methodology |
| title_fullStr | A review article on software effort estimation in agile methodology |
| title_full_unstemmed | A review article on software effort estimation in agile methodology |
| title_short | A review article on software effort estimation in agile methodology |
| title_sort | review article on software effort estimation in agile methodology |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/31907/ http://umpir.ump.edu.my/id/eprint/31907/ http://umpir.ump.edu.my/id/eprint/31907/ http://umpir.ump.edu.my/id/eprint/31907/1/A%20review%20article%20on%20software%20effort%20estimation%20in%20agile%20methodology.pdf |