Regression analysis on experience based factory model for software development process

Software organizations are still struggling to reuse the best of their knowledge and experiences in future projects. Often, when there are changes on employee re-assignment, a lot of time and effort are spent for knowledge transfer activities. This however may not assure that all knowledge and exper...

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Main Authors: Hanafiah, Mastura, Abdullah, Rusli, Azmi Murad, Masrah Azrifah, Din, Jamilah
Format: Article
Language:English
Published: Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64598/
http://psasir.upm.edu.my/id/eprint/64598/1/Regression%20analysis%20on%20experience%20based%20factory%20model%20for%20software%20development%20process.pdf
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author Hanafiah, Mastura
Abdullah, Rusli
Azmi Murad, Masrah Azrifah
Din, Jamilah
author_facet Hanafiah, Mastura
Abdullah, Rusli
Azmi Murad, Masrah Azrifah
Din, Jamilah
author_sort Hanafiah, Mastura
building UPM Institutional Repository
collection Online Access
description Software organizations are still struggling to reuse the best of their knowledge and experiences in future projects. Often, when there are changes on employee re-assignment, a lot of time and effort are spent for knowledge transfer activities. This however may not assure that all knowledge and experiences are well transferred and shared; some could be missing or misplaced. In this study, a model has been proposed for managing knowledge and experiences based on experience factory approach to provide a more efficient and effective experience management for software development community. Experience Factory is an infrastructure that aims for reuse of products, processes and experiences gained during a system life cycle. A set of components have been identified as the predictors of the model which eventually forms the two main organizations: project organization and experience factory organization. This study further has gone through a correlational survey research to verify the relationship between the identified predictors towards the experience factory goals. Reliability analysis has been conducted to validate the measures, while correlation and regression analyses have been carried out to examine the relationship between the constructs and the goals. Results reveal that reliability of the model is high and construct validity is satisfactory. Experience factory organization is found having more positively significant towards experience goals as compared to project organization; however, there is no significant impact towards the model due to inexistence of causal relation.
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spelling upm-645982018-08-13T02:46:27Z http://psasir.upm.edu.my/id/eprint/64598/ Regression analysis on experience based factory model for software development process Hanafiah, Mastura Abdullah, Rusli Azmi Murad, Masrah Azrifah Din, Jamilah Software organizations are still struggling to reuse the best of their knowledge and experiences in future projects. Often, when there are changes on employee re-assignment, a lot of time and effort are spent for knowledge transfer activities. This however may not assure that all knowledge and experiences are well transferred and shared; some could be missing or misplaced. In this study, a model has been proposed for managing knowledge and experiences based on experience factory approach to provide a more efficient and effective experience management for software development community. Experience Factory is an infrastructure that aims for reuse of products, processes and experiences gained during a system life cycle. A set of components have been identified as the predictors of the model which eventually forms the two main organizations: project organization and experience factory organization. This study further has gone through a correlational survey research to verify the relationship between the identified predictors towards the experience factory goals. Reliability analysis has been conducted to validate the measures, while correlation and regression analyses have been carried out to examine the relationship between the constructs and the goals. Results reveal that reliability of the model is high and construct validity is satisfactory. Experience factory organization is found having more positively significant towards experience goals as compared to project organization; however, there is no significant impact towards the model due to inexistence of causal relation. Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64598/1/Regression%20analysis%20on%20experience%20based%20factory%20model%20for%20software%20development%20process.pdf Hanafiah, Mastura and Abdullah, Rusli and Azmi Murad, Masrah Azrifah and Din, Jamilah (2017) Regression analysis on experience based factory model for software development process. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-3). pp. 19-26. ISSN 2180-1843; ESSN: 2289-8131 http://journal.utem.edu.my/index.php/jtec/article/view/2866
spellingShingle Hanafiah, Mastura
Abdullah, Rusli
Azmi Murad, Masrah Azrifah
Din, Jamilah
Regression analysis on experience based factory model for software development process
title Regression analysis on experience based factory model for software development process
title_full Regression analysis on experience based factory model for software development process
title_fullStr Regression analysis on experience based factory model for software development process
title_full_unstemmed Regression analysis on experience based factory model for software development process
title_short Regression analysis on experience based factory model for software development process
title_sort regression analysis on experience based factory model for software development process
url http://psasir.upm.edu.my/id/eprint/64598/
http://psasir.upm.edu.my/id/eprint/64598/
http://psasir.upm.edu.my/id/eprint/64598/1/Regression%20analysis%20on%20experience%20based%20factory%20model%20for%20software%20development%20process.pdf