000 | 05219nam a22005895i 4500 | ||
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001 | 978-3-642-39742-4 | ||
003 | DE-He213 | ||
005 | 20200420221301.0 | ||
007 | cr nn 008mamaa | ||
008 | 130816s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642397424 _9978-3-642-39742-4 |
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024 | 7 |
_a10.1007/978-3-642-39742-4 _2doi |
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050 | 4 | _aQA76.758 | |
072 | 7 |
_aUMZ _2bicssc |
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_aCOM051230 _2bisacsh |
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082 | 0 | 4 |
_a005.1 _223 |
245 | 1 | 0 |
_aSearch Based Software Engineering _h[electronic resource] : _b5th International Symposium, SSBSE 2013, St. Petersburg, Russia, August 24-26, 2013. Proceedings / _cedited by G�unther Ruhe, Yuanyuan Zhang. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aXVI, 326 p. 83 illus. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v8084 |
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505 | 0 | _aKeynote Addresses -- Advances in Automated Program Repair and a Call to Arms -- Some Recent Work on Multi-objective Approaches to Search-Based Software Engineering -- Tutorial -- Cloud Computing and SBSE.-Full Papers -- On the Application of the Multi-Evolutionary and Coupling-Based -- Approach with Different Aspect-Class Integration Testing Strategies -- An Experimental Study on Incremental Search-Based Software Engineering -- Competitive Coevolutionary Code-Smells Detection -- A Multi-objective Genetic Algorithm to Rank State-Based Test Cases -- Validating Code-Level Behavior of Dynamic Adaptive Systems in the Face of Uncertainty -- Model Refactoring Using Interactive Genetic Algorithm -- A Fine-Grained Parallel Multi-objective Test Case Prioritization on GPU -- Search-Based Refactoring Detection Using Software Metrics Variation -- Automated Model-in-the-Loop Testing of Continuous Controllers Using Search -- Predicting Regression Test Failures Using Genetic Algorithm-Selected Dynamic Performance Analysis Metrics -- A Recoverable Robust Approach for the Next Release Problem -- A Systematic Review of Software Requirements Selection and Prioritization Using SBSE Approache -- Regression Testing for Model Transformations: A Multi-objective Approach -- Provably Optimal and Human-Competitive Results in SBSE for Spectrum Based Fault Localisation -- Short Papers -- On the Synergy between Search-Based and Search-Driven Software Engineering -- Preference-Based Many-Objective Evolutionary Testing Generates Harder Test Cases for Autonomous Agents -- Efficient Subdomains for Random Testing -- Applying Genetic Improvement to MiniSAT -- Using Contracts to Guide the Search-Based Verification of Concurrent Programs -- Planning Global Software Development Projects Using Genetic Algorithms -- Challenge Track Papers -- What Can a Big Program Teach Us about Optimization? -- eCrash: An Empirical Study on the Apache Ant Project -- Graduate Track Papers -- A Multi-objective Genetic Algorithm for Generating Test Suites from Extended Finite State Machines -- An Approach to Test Set Generation for Pair-Wise Testing Using Genetic Algorithms -- Generation of Tests for Programming Challenge Tasks Using Helper-Objectives -- The Emergence of Useful Bias in Self-focusing Genetic Programming for Software Optimisation -- Exploring Optimal Service Compositions in Highly Heterogeneous and Dynamic Service-Based Systems -- Applying Search in an Automatic Contract-Based Testing Tool. | |
520 | _aThis book constitutes the refereed proceedings of the Fifth International Symposium on Search-Based Software Engineering, SSBSE 2013, held in St. Petersburg, Russia. The 14 revised full papers, 6 revised short papers, and 6 papers of the graduate track presented together with 2 keynotes, 2 challenge track papers and 1 tutorial paper were carefully reviewed and selected from 50 initial 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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer programming. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aProgramming languages (Electronic computers). | |
650 | 0 | _aComputers. | |
650 | 0 | _aAlgorithms. | |
650 | 0 | _aPattern recognition. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aComputation by Abstract Devices. |
650 | 2 | 4 | _aProgramming Languages, Compilers, Interpreters. |
650 | 2 | 4 | _aPattern Recognition. |
700 | 1 |
_aRuhe, G�unther. _eeditor. |
|
700 | 1 |
_aZhang, Yuanyuan. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642397417 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v8084 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-39742-4 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
942 | _cEBK | ||
999 |
_c53204 _d53204 |