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Search-based software engineering : 12th international symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, proceedings / / Aldeida Aleti, Annibale Panichella (editors)
| Search-based software engineering : 12th international symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, proceedings / / Aldeida Aleti, Annibale Panichella (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XIV, 263 p. 86 illus.) |
| Disciplina | 005.1 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Software engineering
Search engines |
| ISBN | 3-030-59762-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone -- Automated Unit Test Generation for Python -- Do Quality Indicators Prefer Particular Multi-Objective Search Algorithms in Search-Based Software Engineering -- It is not Only About Control Dependent Nodes: Basic Block Coverage for Search-Based Crash Reproduction -- Search-based Testing for Scratch Programs -- Solving Schedulability as a Search Space Problem with Decision Diagrams -- Transforming Multi-Objective Interactive Metamodel/Model Co-Evolution into Mono-Objective Search via Designer’s Preferences Extraction -- Evolutionary Grammar-Based Fuzzing -- Commonality-Driven Unit Test Generation -- Using a Genetic Algorithm to Optimize Configurations in a Data Driven Application -- Measuring and Maintaining Population Diversity in Search-based Unit Test Generation -- Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems -- Exploring The Use of Genetic Algorithm Clustering for Mobile App Categorisation -- Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software -- Bet and Run for Test Case Generation -- Bytecode-based Multiple Condition Coverage: An Initial Investigation -- An application of model seeding to search-based unit test generation for Gson -- Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection -- Defects4J as a Challenge Case for the Search-Based Software Engineering Community. |
| Record Nr. | UNINA-9910427693703321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Search-based software engineering : 12th international symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, proceedings / / Aldeida Aleti, Annibale Panichella (editors)
| Search-based software engineering : 12th international symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, proceedings / / Aldeida Aleti, Annibale Panichella (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XIV, 263 p. 86 illus.) |
| Disciplina | 005.1 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Software engineering
Search engines |
| ISBN | 3-030-59762-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone -- Automated Unit Test Generation for Python -- Do Quality Indicators Prefer Particular Multi-Objective Search Algorithms in Search-Based Software Engineering -- It is not Only About Control Dependent Nodes: Basic Block Coverage for Search-Based Crash Reproduction -- Search-based Testing for Scratch Programs -- Solving Schedulability as a Search Space Problem with Decision Diagrams -- Transforming Multi-Objective Interactive Metamodel/Model Co-Evolution into Mono-Objective Search via Designer’s Preferences Extraction -- Evolutionary Grammar-Based Fuzzing -- Commonality-Driven Unit Test Generation -- Using a Genetic Algorithm to Optimize Configurations in a Data Driven Application -- Measuring and Maintaining Population Diversity in Search-based Unit Test Generation -- Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems -- Exploring The Use of Genetic Algorithm Clustering for Mobile App Categorisation -- Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software -- Bet and Run for Test Case Generation -- Bytecode-based Multiple Condition Coverage: An Initial Investigation -- An application of model seeding to search-based unit test generation for Gson -- Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection -- Defects4J as a Challenge Case for the Search-Based Software Engineering Community. |
| Record Nr. | UNISA-996418317903316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||