Analogy-based model for software project effort estimation
Accurate effort estimation of software development plays an important role to predict how much effort should be prepared during the works of a software project so that it can be completed on time and budget. Some sectors, e.g. banking sectors, were renowned fields of software projects, not only due...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | EJournal Article |
| Published: |
Universitas Ahmad Dahlan,
2018-11-11.
|
| Subjects: | |
| Online Access: | Get Fulltext Get Fulltext Get Fulltext Get Fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02888 am a22003613u 4500 | ||
|---|---|---|---|
| 001 | 0 nhttps:__ijain.org_index.php_IJAIN_article_downloadSuppFile_266_59 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Ardiansyah, Ardiansyah |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Mardhia, Murein Miksa |e author |
| 700 | 1 | 0 | |a Handayaningsih, Sri |e author |
| 245 | 0 | 0 | |a Analogy-based model for software project effort estimation |
| 260 | |b Universitas Ahmad Dahlan, |c 2018-11-11. | ||
| 500 | |a https://ijain.org/index.php/IJAIN/article/view/266 | ||
| 520 | |a Accurate effort estimation of software development plays an important role to predict how much effort should be prepared during the works of a software project so that it can be completed on time and budget. Some sectors, e.g. banking sectors, were renowned fields of software projects, not only due to its huge size of project, but also extremely expensive and takes a long time to completion. Project estimation is essential for software development project able to run on time and budget with maximum quality. This study aims to investigate the accuracy of software project effort estimation with the Analogy method using three parameters: Euclidean, Manhattan and Minkowski distance. Analogy based estimation consists several stage included similarity measure, analogy adaptation, estimation calculation and model evaluation. The results showed that the best combination of Analogy methods was using Manhattan distance with an accuracy of 50% MMRE, 28% MdMRE and Pred(25) 48%. Thus, we can concluded that this model can be used to predict accurately. | ||
| 540 | |a Copyright (c) 2018 Ardiansyah Ardiansyah, Murein Miksa Mardhia, Sri Handayaningsih | ||
| 540 | |a https://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Analogy estimation; Effort estimation; Software project; Similarity distance; Machine learning | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n International Journal of Advances in Intelligent Informatics; Vol 4, No 3 (2018): November 2018; 251-260 | |
| 786 | 0 | |n 2548-3161 | |
| 786 | 0 | |n 2442-6571 | |
| 787 | 0 | |n https://ijain.org/index.php/IJAIN/article/view/266/ijain_v4i3_p251-260 | |
| 787 | 0 | |n https://ijain.org/index.php/IJAIN/article/downloadSuppFile/266/57 | |
| 787 | 0 | |n https://ijain.org/index.php/IJAIN/article/downloadSuppFile/266/58 | |
| 787 | 0 | |n https://ijain.org/index.php/IJAIN/article/downloadSuppFile/266/59 | |
| 856 | 4 | 1 | |u https://ijain.org/index.php/IJAIN/article/view/266/ijain_v4i3_p251-260 |z Get Fulltext |
| 856 | 4 | 1 | |u https://ijain.org/index.php/IJAIN/article/downloadSuppFile/266/57 |z Get Fulltext |
| 856 | 4 | 1 | |u https://ijain.org/index.php/IJAIN/article/downloadSuppFile/266/58 |z Get Fulltext |
| 856 | 4 | 1 | |u https://ijain.org/index.php/IJAIN/article/downloadSuppFile/266/59 |z Get Fulltext |