Search-Based Software Engineering
6th International Symposium, SSBSE 2014, Fortaleza, Brazil, August 26-29, 2014, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 6th International Symposium on Search-Based Software Engineering, SSBSE 2014, held in Fortaleza, Brazil.
The 14 revised full papers presented together with 2 keynote addresses, 1 invited talk, 1 short...
The 14 revised full papers presented together with 2 keynote addresses, 1 invited talk, 1 short...
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Klappentext zu „Search-Based Software Engineering “
This book constitutes the refereed proceedings of the 6th International Symposium on Search-Based Software Engineering, SSBSE 2014, held in Fortaleza, Brazil.The 14 revised full papers presented together with 2 keynote addresses, 1 invited talk, 1 short paper, 3 papers of the graduate track, and 4 challenge track papers were carefully reviewed and selected from 51 submissions. Search Based Software Engineering (SBSE) studies the application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and maintenance.
Inhaltsverzeichnis zu „Search-Based Software Engineering “
- On the Effectiveness of Whole Test Suite Generation- Detecting Program Execution Phases Using Heuristic Search
- On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring
- Producing Just Enough Documentation: The Next SAD Version Problem
- A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications
- A Pattern-Driven Mutation Operator for Search-Based Product Line Architecture Design
- Mutation-Based Generation of Software Product Line Test Configurations
- Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software
- Bi-objective Genetic Search for Release Planning in Support of Themes
- Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level
- Feature Model Synthesis with Genetic Programming
- A Robust Multi-objective Approach for Software Refactoring under Uncertainty
- Towards Automated A/B Testing
- Random-Weighted Search-Based Multi-objective Optimization Revisited
- A New Learning Mechanism for Resolving Inconsistencies in Using Cooperative Co-evolution Model
- Improving Heuristics for the Next Release Problem through Landscape Visualization
- Machine Learning for User Modeling in an Interactive Genetic Algorithm for the Next Release Problem
- Transaction Profile Estimation of Queueing Network Models for IT Systems Using a Search-Based Technique
- Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases
- Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System
- Pidgin Crasher: Searching for Minimised Crashing GUI Event Sequences
- Repairing and Optimizing Hadoop hashCode Implementations
Bibliographische Angaben
- 2014, 2014, XXXII, 268 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Claire Le Goues, Shin Yoo
- Verlag: Springer, Berlin
- ISBN-10: 3319099396
- ISBN-13: 9783319099392
- Erscheinungsdatum: 08.08.2014
Sprache:
Englisch
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