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;…mehr
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.
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Inhaltsangabe
.- 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 ChatGPT's 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 Clingo's 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.
.- 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 ChatGPT's 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 Clingo's 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.
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