A framework for reducing the cost of instrumented code
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
CIL: Intermediate Language and Tools for Analysis and Transformation of C Programs
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Bug isolation via remote program sampling
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Building a Better Backtrace: Techniques for Postmortem Program Analysis
Building a Better Backtrace: Techniques for Postmortem Program Analysis
Locating causes of program failures
Proceedings of the 27th international conference on Software engineering
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
SOBER: statistical model-based bug localization
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Empirical evaluation of the tarantula automatic fault-localization technique
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Weighted pushdown systems and their application to interprocedural dataflow analysis
Science of Computer Programming - Special issue: Static analysis symposium (SAS 2003)
Statistical debugging: simultaneous identification of multiple bugs
ICML '06 Proceedings of the 23rd international conference on Machine learning
Statistical debugging using compound boolean predicates
Proceedings of the 2007 international symposium on Software testing and analysis
Cooperative Bug Isolation: Winning Thesis of the 2005 ACM Doctoral Dissertation Competition (Lecture Notes in Computer Science)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Context-aware statistical debugging: from bug predictors to faulty control flow paths
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
The Daikon system for dynamic detection of likely invariants
Science of Computer Programming
Statistical Debugging Using Latent Topic Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
Extended weighted pushdown systems
CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
Path optimization in programs and its application to debugging
ESOP'06 Proceedings of the 15th European conference on Programming Languages and Systems
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Cooperative Bug Isolation (CBI) is a feedback-directed approach to improving software quality. Developers provide instrumented applications to the general public, and then use statistical methods to mine returned data for information about the root causes of failure. Thus, users and developers form a feedback loop of continuous software improvement. Given CBI's focus on statistical methods and dynamic data collection, it is not clear how static program analysis can most profitably be employed. We discuss current uses of static analysis during CBI instrumentation and failure modeling. We propose novel ways in which static analysis could be applied at various points along the CBI feedback loop, from fairly concrete low-level optimization opportunities to hybrid failure-modeling approaches that may cut across current static/dynamic/statistical boundaries.