Collaborative experience-based factory model for software development process
A key aspect in software development (SD) is the management of its knowledge and experiences. Since many decades ago, organizations have been valuing the experiences and know-how of their employees. One of the frameworks that enables learning and continuous improvement is the Experience Factory (...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/83775/1/FSKTM%202019%202%20-%20ir.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | A key aspect in software development (SD) is the management of its knowledge
and experiences. Since many decades ago, organizations have been valuing the
experiences and know-how of their employees. One of the frameworks that
enables learning and continuous improvement is the Experience Factory (EF)
framework. Yet, previous literatures have reported that EF is hard, costly, and
risky, and requires considerable amount of effort to implement. Although there
are several evolutions on this framework over the years, however, the works
have been declining in the recent years due to the unwillingness of the
organizations to invest and due to the unclear benefits to the employees. In
addition, knowledge management (KM) issues in SD still persist until today and
software organizations are still striving to learn from previous experiences.
This dissertation proposes a model for managing SD knowledge and
experiences based on the EF approach, namely EBF-SD, to address the
limitations of EF as well as to overcome the KM issues for SD process in a
collaborative environment. The proposed components are SD Process
Knowledge Base, Community of Practice Influences, Knowledge Management
Process Enablement, and Technology & Infrastructure Support. In order to
implement EF, its goals must be clarified and measurable, thus, the components
are evaluated against the EF goals.
Qualitative methods such as expert review and pilot study are conducted to verify
the initial conceptual model, while quantitative method is used to investigate the
relationships between the components and EF goals. Data reliability and
construct validity are examined via Rasch Analysis and Factor Analysis, while
hypothetical relationships are examined using correlational analysis, multiple linear regression and Partial Least Squares of Structural Equation Modeling
(PLS-SEM).
Empirical study indicates that the components have positive and significant
relationships towards EF goals whereby 6 out of 7 hypotheses are supported.
Empirical evidences also reveal that technological support is the main significant
factor towards the achievement of EF goals. Based on these findings, a
prototype is developed to translate the model into a working system, as a proofof-
concept, by implementing the proposed components into appropriate
functionalities and relevant technological approaches. Evaluation of the
prototype via descriptive statistics and PLS-SEM reveals that the prototype is
beneficial and significantly contributes to the achievement of EF goals. Other
findings suggest that knowledge quality has higher influence in terms of system
usage and user satisfaction as compared to system quality.
The overall research findings demonstrate that the proposed model is adequate,
significant and accepted by the software practitioners in the context of
collaborative software development environment. |
|---|