Replication Package for: When Dynamic Slicing Helps and Hurts Spectrum-Based Fault Localization: Evidence from an Expanded TCAS Benchmark
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Supplementary Material for DX 2026 This repository accompanies the paper When Dynamic Slicing Helps and Hurts Spectrum-Based Fault Localization: Evidence from an Expanded TCAS Benchmark( Iulia Nica and Franz Wotawa , 37th International Conference on Principles of Diagnosis and Resilient Systems (DX 2026)). It contains all artifacts required to reproduce the **Extended Experiments (EE1 and EE2)** presented in the paper, including the extended TCAS benchmark, analysis scripts, and the generated Spectrum-Based Fault Localization (SFL) matrices. This repository **is not a new version of the JSR framework**. Instead, it builds upon two existing research artifacts: 1. **The original JSR framework**, developed by Lukas Stracke: https://github.com/Lms24/JSR 2. **The extended JSR framework**, developed by Jonas Schleich and Franz Wotawa, for details, see the paper *Combining Dynamic Slicing and Spectrum-Based Fault Localization – A First Experimental Evaluation*: https://github.com/SchleichJonas/JSR Our contribution extends the experimental evaluation performed with the extended JSR framework. Specifically, this repository adds: - an expanded TCAS benchmark containing nine newly generated mutants (resulting in eleven evaluated variants),- two new experimental rounds (EE1 and EE2),- modified analysis scripts (`SFL_new.py` and `SFL_new_v2.py`),- the generated coverage and outcome matrices used to produce the results reported in the paper



