Escaping the software tar pit: model clashes and how to avoid them
ACM SIGSOFT Software Engineering Notes
Investigating and improving a COTS-based software development
Proceedings of the 22nd international conference on Software engineering
PPT: a COTS integration case study
Proceedings of the 22nd international conference on Software engineering
COTS Integration: Plug and Pray?
Computer
COTS-Based Systems Top 10 List
Computer
Not All CBS Are Created Equally: COTS-Intensive Project Types
ICCBSS '03 Proceedings of the Second International Conference on COTS-Based Software Systems
Overlooked Aspects of COTS-Based Development
IEEE Software
Empirical Software Engineering
Early detection of COTS component functional suitability
Information and Software Technology
Software Process: Improvement and Practice - Advances in Software Process Improvement
Development with Off-the-Shelf Components: 10 Facts
IEEE Software
Hi-index | 0.00 |
We present a descriptive and exploratory study of factors that can affect the success of COTS-based systems. Based on a review of the literature and industrial experience, the choice of life cycle model and the amount of glueware required were hypothesized as the main factors in predicting project success. In this study we examined the relationship between different life cycle models and COTS integration project success. Two life cycle models were studied: the sequential model and the iterative model. Seven subjects from six industrial organizations responded to a survey providing data on 23 COTS integration projects. While there was variability between iterative and sequential projects on a variety of organizational and product factors, little difference was found between the life cycle models on the success criteria of projects (i.e. being on time, meeting requirements and being within budget). We found that projects that met two or three of the success criteria had significantly higher scores on project characteristics (organizational plus product) than those meeting none or just one.