Titlebook: Search-Based Software Engineering; 15th International S Paolo Arcaini,Tao Yue,Erik M. Fredericks Conference proceedings 2024 The Editor(s)

宽大

Expound: A Black-Box Approach for Generating Diversity-Driven Adversarial Examplesus termed a .. Furthermore, each failure category comprises a diverse set of perturbations, all of which produce the same type of model misbehavior. As such, this work provides both breadth and depth-based information for addressing robustness with respect to multiple categories of failures due to a

要求比…更好

Search-Based Mock Generation of External Web Service Interactionsde instrumentation to detect all interactions with external services, and how their response data is parsed. We then use such information to enhance a search-based approach for fuzzing. The tested application is automatically modified (by manipulating DNS lookups) to rather interact with instances o

适宜

A Novel Mutation Operator for Search-Based Test Case Selectione ones. To this end, instead of applying a probability of 1/. to every single test case in the original test suite, we calculate new selection and removal probabilities. This is carried out based on the adequacy criterion of each test case, determined before executing the algorithm (e.g., based on h

Awning

On the Impact of Tool Evolution and Case Study Size on SBSE Experiments: A Replicated Study with Evos of . with 15 REST APIs as case studies, using its latest version. Our findings reveal that updated parameter settings can offer improved performance, underscoring the possible benefits of re-tuning already existing parameters. Additionally, the inclusion of a broader range of case studies provides

Outmoded

Developer Views on Software Carbon Footprint and Its Potential for Automated Reductionrements that automated reduction tools must meet to ensure adoption. Our findings offer a foundation for future research on practices, guidelines, and automated tools that address software carbon footprint.

恸哭

腐烂

Enhancing Genetic Improvement Mutations Using Large Language Modelstandard Insert edits. Further, we observe that the patches found with LLMs are generally less diverse compared to standard edits. We ran GI with local search to find runtime improvements. Although many improving patches are found by LLM-enhanced GI, the best improving patch was found by standard GI.

Fatten

Monolithic

Multi-objective Black-Box Test Case Prioritization Based on Wordnet Distancesashion. Our preliminary study conducted with two different Java projects shows that test cases prioritized with WordNet achieve larger fault detection capability (APFD.) compared to the traditional cosine distance used in the literature.

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