SDCS: six‐dimensional classification strategy framework for COTS products
Source: International Journal of Data Analysis Techniques and Strategies, Volume 2, Number 2, 3 April 2010 , pp. 170-180(11)
Publisher: Inderscience Publishers
Abstract:Component‐based software development (CBSD) has given a new direction for developing just‐in‐time to market, cost‐effective, easily maintainable and customer requirement‐based software systems. Using CBSD, software systems can be built by two techniques. The first technique involves integration of commercial‐off‐the‐shelf (COTS) components with the existing system while with the second technique a whole new system can be developed by identifying and integrating appropriate COTS. This has lead to a major issue of how to classify COTS products. Classification can help both industry as well as researchers to assess and compare COTS products. This can be achieved by evolving and identifying appropriate classes on the basis of classification attributes. This paper discusses six‐dimensional classification strategy framework for COTS products.
Keywords: Applied and Computational Mathematics; Business Administration; COMPUTING AND MATHEMATICS JOURNALS; Computing Science, Applications and Software; Electronic Systems, Control and Artificial Intelligence; MANAGEMENT JOURNALS; Operational Management, Marketing and Services; TECHNICAL JOURNALS
Document Type: Research Article
Publication date: April 3, 2010
- The objectives of the International Journal of Data Analysis Techniques and Strategies are to promote discussions, deliberations and debates on different data analysis principles, architectures, techniques, methodologies, models, as well as the appropriate strategies and applications for various decision-making environments. Two main data analysis schools of thoughts, in terms of quantitative and qualitative, can intersect, interchange, and integrate their ideas. Practitioners can learn the down-to-earth practice. Certainly, quantitative data analysis techniques are very important. However, qualitative data analysis techniques cannot be ignored. In this effort, a best fit, if any, may be found between a strategy and a specific data analysis technique.