Digging into UML models to remove performance antipatterns
Proceedings of the 2010 ICSE Workshop on Quantitative Stochastic Models in the Verification and Design of Software Systems
Detection and solution of software performance antipatterns in palladio architectural models
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
A model-based framework for software performance feedback
MODELS'10 Proceedings of the 2010 international conference on Models in software engineering
A process to effectively identify “guilty” performance antipatterns
FASE'10 Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering
A prediction approach to support alternative design decision for component-based system development
SEPADS'12/EDUCATION'12 Proceedings of the 11th WSEAS international conference on Software Engineering, Parallel and Distributed Systems, and proceedings of the 9th WSEAS international conference on Engineering Education
Antipattern-based model refactoring for software performance improvement
Proceedings of the 8th international ACM SIGSOFT conference on Quality of Software Architectures
Performance-driven architectural refactoring through bidirectional model transformations
Proceedings of the 8th international ACM SIGSOFT conference on Quality of Software Architectures
Software performance antipatterns: modeling and analysis
SFM'12 Proceedings of the 12th international conference on Formal Methods for the Design of Computer, Communication, and Software Systems: formal methods for model-driven engineering
Problem-specific search operators for metaheuristic software architecture design
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
An approach for modeling and detecting software performance antipatterns based on first-order logics
Software and Systems Modeling (SoSyM)
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The problem of interpreting the results of performance analysis is quite critical in the software performance domain. Mean values, variances, probability distributions are hard to interpret for providing feedback to software architects. Instead, what architects expect are solutions to performance problems, possibly in the form of architectural alternatives (e. g. split a software component in two components and re-deploy one of them). In a software performance engineering approach this path from analysis results to software alternatives still lacks of automation and is based on the skills and experience of analysts. In this paper we propose an automated approach for the performance feedback generation process based on performance antipatterns. To this aim, we model performance antipatterns as logical predicates and we provide a java engine, based on such predicates, that is able to detect performance antipatterns in an XML representation of the software system. Finally, we show the approach at work on a simple case study.