Atnaujinkite slapukų nuostatas

Testing Software and Systems: 36th IFIP WG 6.1 International Conference, ICTSS 2024, London, UK, October 30 November 1, 2024, Proceedings [Minkštas viršelis]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formatas: Paperback / softback, 350 pages, aukštis x plotis: 235x155 mm, 62 Illustrations, color; 10 Illustrations, black and white; XIII, 350 p. 72 illus., 62 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15383
  • Išleidimo metai: 25-Jan-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031808886
  • ISBN-13: 9783031808883
Kitos knygos pagal šią temą:
Testing Software and Systems: 36th IFIP WG 6.1 International Conference, ICTSS 2024, London, UK, October 30 November 1, 2024, ProceedingsDidesnis paveikslėlis
  • Formatas: Paperback / softback, 350 pages, aukštis x plotis: 235x155 mm, 62 Illustrations, color; 10 Illustrations, black and white; XIII, 350 p. 72 illus., 62 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15383
  • Išleidimo metai: 25-Jan-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031808886
  • ISBN-13: 9783031808883
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031808883.html

This book constitutes the refereed proceedings of the 36th IFIP WG 6.1 International Conference on Testing Software and Systems, ICTSS 2024, held in London, UK, during October 30–November 1, 2024.
The 17 full papers and 5 short papers included in this book were carefully reviewed and selected from 40 submissions. They were organized in topical sections as follows: Best Paper Award; Industry and Challenge Tracks; Mutation Testing and Code Generation; Advancing Code Vulnerability Detection; Short Papers; Tutorial; Journal First; Health Track; Innovations in Software Testing and AI Compliance; Improving Software Testing Reliability and Advancements in Testing Methodologies.

.- Best Paper Award.

.- Estimating Combinatorial t-way Coverage based on Matrix Complexity
Metrics.

.- Industry and Challenge Tracks.

.- Enhancing RL Safety with Counterfactual LLM Reasoning.

.- GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining
Automotive Software Release Decision-Making.

.- Test Prioritization based on the Coverage of Recently Modified Source
Code: An Industrial Case Study.

.- On the variations of ChatGPTs response quality for generating source code
across programming languages.

.- Reevaluating the small-scope testing hypothesis of answer set programs.

.- Advancing Code Vulnerability Detection.

.- Enhancing Vulnerability Detection with Domain Knowledge: a Comparison of
Different Mechanisms.

.- LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic
Understanding Tasks.

.- Enhanced Graph Neural Networks for Vulnerability Detection in Java via
Advanced Subgraph Construction.

.- Short Papers.

.- Mutating Clingos AST with clingabomino.

.- Towards a Knowledge Graph based approach for vulnerable code weaknesses
identification.

.- Tutorial.

.- Automatic Summarization Evaluation: Methods and Practices.

.- Journal First.

.- Summary of ObfSec: Measuring the security of obfuscations from a testing
perspective.

.- Health Track.

.- A trusted friend in the middle of the night: End-user perspectives on
Artificial Intelligence informed software systems as a decision-making aid
for patients.

.- Binary Classification Optimisation with AI-Generated Data.

.- Responsible MLOps Design Methodology for an Auditing System for AI-based
Clinical Decision Support Systems.

.- Innovations in Software Testing and AI Compliance.

.- Software System Testing assisted by Large Language Models: An Exploratory
Study.

.- Continuous Auditing Based Conformity Assessment for AI Systems: A
Proof-of-Concept Evaluation.

.- Improving Software Testing Reliability.

.- Checking Test Suite Efficacy Through Dual-Channel Techniques.

.- Extending a Flakiness Score for System-Level Tests.

.- Advancements in Testing Methodologies.

.- Autonomous Driving System Testing: Traffic Density Does Matter.

.- Annotation-based input modeling for combinatorial testing.