A cost-benefit decision model: analysis, comparison amd selection of data management
ACM Transactions on Database Systems (TODS)
A heuristic for software evaluation and selection
Software—Practice & Experience
System acquisition based on software product assessment
Proceedings of the 18th international conference on Software engineering
Separated hierarchical decomposition of the Choquet integral
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on fuzzy measures and integrals in subjective evaluation
Suitability Maps Based on the LSP Method
MDAI '08 Sabadell Proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence
Aggregated Mean Ratios of an Interval Induced from Aggregation Operations
MDAI '08 Sabadell Proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence
Weighted quasi-arithmetic means and conditional expectations
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
On four noncommutative fuzzy connectives and their axiomatization
Fuzzy Sets and Systems
SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
Engineering Applications of Artificial Intelligence
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In this paper we propose a quantitative model for evaluation and selection of integrated development environments (IDEs) for Java enterprise applications. Our goal is to determine the extent to which major IDEs satisfy typical software developer requirements. Our evaluation model is based on the Logic Scoring of Preference (LSP) method for system evaluation. We present an overview of the LSP method, the structure of IDE evaluation criterion, and a sample evaluation and comparison of three competitive systems: IBM WebSphere Studio Application Developer, Borland JBuilder, and SUN ONE Studio. In this paper we also introduce rectangular diagrams, an efficient new notation of LSP criteria.