An approach for QoS-aware service composition based on genetic algorithms

By Gerardo Canfora, Massimiliano Di Penta, Raffaele Esposito, Maria Luisa Villani. Annual Conference on Genetic and Evolutionary Computation, 2005

991 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/1ec6334d899ec5e498a52722419bfb6e41850446

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Networks and Communications

In Information Systems

Citations in the corpus

A practical guide for using statistical tests to assess randomized algorithms in software engineering (2011, methodology): “rithms include software testing [41], requirement engineering [8], project planning and cost estimation [2], bug fixing [7], automated maintenance [43], service-oriented software engineering [9], compiler optimisation [11] and quality assessment [32].”
The Current State and Future of Search Based Software Engineering (2007, methodology): “Search based optimization techniques have been applied to a number of software engineering activities, right across the life-cycle from requirements engineering [5], project planning and cost estimation [1, 3, 4, 16, 28, 52] through testing [6, 7, 11, 14, 15, 36, 39, 54, 61, 87], to automated mainte”
A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering (2014, methodology): “Appli-34 cations of search algorithms include software testing [81], requirement engineering [18], project planning and cost estimation [2], bug ﬁxing [14], automated maintenance [84], service-oriented software engineering [22], compiler optimisation [26] and quality assessment [67].”
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search (2010, background): “activities right across the software engineering life cycle, including requirements engineering [4], [19], [21], project planning and cost estimation [2], [3], [17] maintenance [10], [37], [46], refactoring [28], [50], [54], service-oriented software engineering [14], and quality assessment [11], [3”
A framework for QoS-aware binding and re-binding of composite web services (2008, methodology): “Empirical data to assess the performance of our GAsbased method against the (linear) integer programming solution is presented in Canfora et al. (2005b).”
Search Based Software Engineering: A Comprehensive Analysis and Review of Trends Techniques and Applications (2009, positive): “The problem of (Quality of Service (QoS) aware web service composition was introduced by Canfora et al. [95], who use Genetic Algorithms to solve QoS-aware composition optimisation problem.”
A systematic review of search-based testing for non-functional system properties (2009, neutral): “[37], genetic algorithms were used to determine the set of service concretizations (i.”
Dynamic QoS Management and Optimization in Service-Based Systems (2011, neutral): “2005-2008 [24], [25], [26] QoS-driven Service Binding and (Re-) Binding/Selection (Execution) Time, Reliability, Availability, Price Simple Aggregation Functions (eg.”
Software Architecture Optimization Methods: A Systematic Literature Review (2013, neutral): “[236], [237], [241] AREA(3) [45], [218], [220], AVAILABILITY(18) [12], [14], [15], [29], [39], [40], [42],”