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  1. Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering (ESEC/FSE '09)
  2. Darwin: an approach for debugging evolving programs
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Asserting and checking determinism for multithreaded programs
Darwin: an approach for debugging evolving programs
The massification and webification of systems' modeling and simulation with virtual worlds
Backward-compatible constant-time exception-protected memory
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
Qos-driven runtime adaptation of service oriented architectures
Refactoring for reentrancy
Api hyperlinking via structural overlap
Insights from expert software design practice
Fitting the pieces together: a machine-checked model of safe composition
Debugging debugging: acm sigsoft impact paper award keynote
Facilitating software refactoring with appropriate resolution order of bad smells
Verification and performance evaluation of aadl models
Software architecture: many faces, many places, yet a central discipline
Synthesizing partial component-level behavior models from system specifications
Probabilistic environments in the quantitative analysis of (non-probabilistic) behaviour models
Engineering search computing applications: vision and challenges
DebugAdvisor: a recommender system for debugging
The challenge of pervasive software to the conventional wisdom of software engineering
Static data race detection for concurrent programs with asynchronous calls
Capturing propagation of infected program states
Automated security testing of web widget interactions
On the relationship between process maturity and geographic distribution: an empirical analysis of their impact on software quality
Automatic synthesis of behavior protocols for composable web-services
Monitoring probabilistic properties
Learning from examples to improve code completion systems
Ensuring interoperable service-oriented systems through engineered self-healing
Software change dynamics: evidence from 35 java projects
Reo2MC: a tool chain for performance analysis of coordination models
Supporting automatic model inconsistency fixing
Automatic steering of behavioral model inference
Graph-based mining of multiple object usage patterns
IQ routes and HD traffic: technology insights about tomtom's time-dynamic navigation concept
Symbolic pruning of concurrent program executions
Saturation-based testing of concurrent programs
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MSeqGen: object-oriented unit-test generation via mining source code
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Practical framework constraints
Smart views for analyzing problem reports: tool demo
Behavioral automata composition for automatic topology independent verification of parameterized systems
Sireum/Topi LDP: a lightweight semi-decision procedure for optimizing symbolic execution-based analyses
Fair and balanced?: bias in bug-fix datasets
Whitening SOA testing
Evaluating recovery aware components for grid reliability
SCA: a semantic conflict analyzer for parallel changes
Towards accurate probabilistic models using state refinement
Test case comparison and clustering using program profiles and static execution
ReCrashJ: a tool for capturing and reproducing program crashes in deployed applications
Javalanche: efficient mutation testing for Java
ConcernMorph: metrics-based detection of crosscutting patterns
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Darwin: an approach for debugging evolving programs

Content Provider ACM Digital Library
Author Roychoudhury, Abhik Qi, Dawei Vaswani, Kapil Liang, Zhenkai
Abstract Debugging refers to the laborious process of finding causes of program failures. Often, such failures are introduced when a program undergoes changes and evolves from a stable version to a new, modified version. In this paper, we propose an automated approach for debugging evolving programs. Given two programs (a reference, stable program and a new, modified program) and an input that fails on the modified program, our approach uses concrete as well as symbolic execution to synthesize new inputs that differ marginally from the failing input in their control flow behavior. A comparison of the execution traces of the failing input and the new inputs provides critical clues to the root-cause of the failure. A notable feature of our approach is that it handles hard-to-explain bugs like code missing errors by pointing to the relevant code in the reference program. We have implemented our approach in a tool called DARWIN. We have conducted experiments with several real-life case studies, including real-world web servers and the libPNG library for manipulating PNG images. Our experience from these experiments points to the efficacy of DARWIN in pinpointing bugs. Moreover, while localizing a given observable error, the new inputs synthesized by DARWIN can reveal other undiscovered errors.
Starting Page 33
Ending Page 42
Page Count 10
File Format PDF
ISBN 9781605580012
DOI 10.1145/1595696.1595704
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-08-24
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Software evolution Debugging Symbolic execution
Content Type Text
Resource Type Article
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