A Study of Software Development Cost Estimation Techniques and Models
SDCE (Software Development Cost Estimation) has always been an interesting and budding field in Software Engineering. This study supports the SDCE by exploring its techniques and models and collecting them in one place. This contribution in the literature will assist future researchers to get maximu...
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Format: | Article |
Language: | English |
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Mehran University of Engineering and Technology
2020-04-01
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Series: | Mehran University Research Journal of Engineering and Technology |
Online Access: | https://publications.muet.edu.pk/index.php/muetrj/article/view/1603 |
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author | Junaid Rashid Muhammad Wasif Nisar Toqeer Mahmood Amjad Rehman Syed Yasser Arafat |
author_facet | Junaid Rashid Muhammad Wasif Nisar Toqeer Mahmood Amjad Rehman Syed Yasser Arafat |
author_sort | Junaid Rashid |
collection | DOAJ |
description | SDCE (Software Development Cost Estimation) has always been an interesting and budding field in Software Engineering. This study supports the SDCE by exploring its techniques and models and collecting them in one place. This contribution in the literature will assist future researchers to get maximum knowledge about SDCE techniques and models from one paper and to save their time. In this paper, we review numerous software development effort and cost estimation models and techniques, which are divided into different categories. These categories are parametric models, expertise-based techniques, learning-oriented techniques, dynamicsbased models, regression-based techniques, fuzzy logic-based methods, size-based estimation models, and composite techniques. Some other techniques which directly do not lie in any specific category are also briefly explained. We have concluded that no single technique is best for all situations; rather they are applicable in different nature of projects. All techniques have their own pros and cons and they are challenged by the rapidly changing software industry. Since no single technique gives a hundred percent accuracy, that is why one technique and model should not be preferred over all others. We recommend a hybrid approach for SDCE because in this way the limitations of one model and technique are complemented by the merits of the other model/technique. We also recommend a model calibration to obtain accurate results because if a model was developed in a different environment, we cannot expect reliable estimates from it in a completely new environment. |
first_indexed | 2024-04-11T23:12:28Z |
format | Article |
id | doaj.art-d4a1914312584b2196c8011b934406b5 |
institution | Directory Open Access Journal |
issn | 0254-7821 2413-7219 |
language | English |
last_indexed | 2024-04-11T23:12:28Z |
publishDate | 2020-04-01 |
publisher | Mehran University of Engineering and Technology |
record_format | Article |
series | Mehran University Research Journal of Engineering and Technology |
spelling | doaj.art-d4a1914312584b2196c8011b934406b52022-12-22T03:57:48ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192020-04-0139241343110.22581/muet1982.2002.181603A Study of Software Development Cost Estimation Techniques and ModelsJunaid Rashid0Muhammad Wasif Nisar1Toqeer Mahmood2Amjad Rehman3Syed Yasser Arafat4Department of Computer Science, Air University Islamabad, Kamra Campus, Pakistan. Email:Department of Computer Science, COMSATS University Islamabad, Wah Campus, Pakistan.Department of Computer Science, National Textile University, Faisalabad, Pakistan.Artificial Intelligence and Data Analytics Lab (AIDA), Prince Sultan University, Riyadh, Saudi Arabia.Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan.SDCE (Software Development Cost Estimation) has always been an interesting and budding field in Software Engineering. This study supports the SDCE by exploring its techniques and models and collecting them in one place. This contribution in the literature will assist future researchers to get maximum knowledge about SDCE techniques and models from one paper and to save their time. In this paper, we review numerous software development effort and cost estimation models and techniques, which are divided into different categories. These categories are parametric models, expertise-based techniques, learning-oriented techniques, dynamicsbased models, regression-based techniques, fuzzy logic-based methods, size-based estimation models, and composite techniques. Some other techniques which directly do not lie in any specific category are also briefly explained. We have concluded that no single technique is best for all situations; rather they are applicable in different nature of projects. All techniques have their own pros and cons and they are challenged by the rapidly changing software industry. Since no single technique gives a hundred percent accuracy, that is why one technique and model should not be preferred over all others. We recommend a hybrid approach for SDCE because in this way the limitations of one model and technique are complemented by the merits of the other model/technique. We also recommend a model calibration to obtain accurate results because if a model was developed in a different environment, we cannot expect reliable estimates from it in a completely new environment.https://publications.muet.edu.pk/index.php/muetrj/article/view/1603 |
spellingShingle | Junaid Rashid Muhammad Wasif Nisar Toqeer Mahmood Amjad Rehman Syed Yasser Arafat A Study of Software Development Cost Estimation Techniques and Models Mehran University Research Journal of Engineering and Technology |
title | A Study of Software Development Cost Estimation Techniques and Models |
title_full | A Study of Software Development Cost Estimation Techniques and Models |
title_fullStr | A Study of Software Development Cost Estimation Techniques and Models |
title_full_unstemmed | A Study of Software Development Cost Estimation Techniques and Models |
title_short | A Study of Software Development Cost Estimation Techniques and Models |
title_sort | study of software development cost estimation techniques and models |
url | https://publications.muet.edu.pk/index.php/muetrj/article/view/1603 |
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