Abstract is missing.
- Search Based Software Engineering for Program ComprehensionMark Harman. 3-13 [doi]
- Making the Code Look Like the Design - Aspects and Other Recent WorkGregor Kiczales. 14 [doi]
- Reducing Program Comprehension Effort in Evolving Software by Recognizing Feature Implementation ConvergenceJay Kothari, Trip Denton, Ali Shokoufandeh, Spiros Mancoridis. 17-26 [doi]
- Recovering Concepts from Source Code with Automated Concept IdentificationMaurice M. Carey, Gerald C. Gannod. 27-36 [doi]
- Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source CodeDenys Poshyvanyk, Andrian Marcus. 37-48 [doi]
- Understanding Execution Traces Using Massive Sequence and Circular Bundle ViewsBas Cornelissen, Danny Holten, Andy Zaidman, Leon Moonen, Jarke J. van Wijk, Arie van Deursen. 49-58 [doi]
- Tracking Objects to Detect Feature DependenciesAdrian Lienhard, Orla Greevy, Oscar Nierstrasz. 59-68 [doi]
- WAD: A Feasibility study using the Wicked Audio DebuggerAndreas Stefik, Roger Alexander, Robert Patterson, Jonathan Brown. 69-80 [doi]
- A Hybrid Program Model for Object-Oriented Reverse EngineeringMichael W. Godfrey. 81-90 [doi]
- From Reality to Programs and (Not Quite) Back AgainDaniel Ratiu, Florian Deissenboeck. 91-102 [doi]
- A Comparative Study of Three Program Exploration ToolsBrian de Alwis, Gail C. Murphy, Martin P. Robillard. 103-112 [doi]
- Assessing the Comprehension of UML Class Diagrams via Eye TrackingShehnaaz Yusuf, Huzefa H. Kagdi, Jonathan I. Maletic. 113-122 [doi]
- Empirical Evaluation of a UML Sequence Diagram with Adornments to Support Understanding of Thread InteractionsShaohua Xie, Eileen Kraemer, R. E. Kurt Stirewalt. 123-134 [doi]
- Detecting Interaction Coupling from Task Interaction HistoriesLijie Zou, Michael W. Godfrey, Ahmed E. Hassan. 135-144 [doi]
- Mining Software Repositories for Traceability LinksHuzefa H. Kagdi, Jonathan I. Maletic, Bonita Sharif. 145-154 [doi]
- Characterizing and Understanding Development SessionsRomain Robbes, Michele Lanza. 155-166 [doi]
- Evaluating Aspect Mining Techniques: A Case StudyChanchal Kumar Roy, Mohammad Gias Uddin, Banani Roy, Thomas R. Dean. 167-176 [doi]
- Using Bayesian Belief Networks to Predict Change Propagation in Software SystemsSiavash Mirarab, Alaa Hassouna, Ladan Tahvildari. 177-188 [doi]
- A Non-conservative Approach to Software Pattern DetectionNiklas Pettersson, Welf Löwe. 189-198 [doi]
- Recovering Workflows from Multi Tiered E-commerce SystemsMaokeng Hung, Ying Zou. 198-207 [doi]
- Error Report Driven Post-Mortem AnalysisYi Zhang, S. Purushothaman Iyer. 208-220 [doi]
- Interactive Views to Improve the Comprehension of UML Models - An Experimental ValidationChristian F. J. Lange, Michel R. V. Chaudron. 221-230 [doi]
- Program Comprehension through Software HabitabilityRichard Wettel, Michele Lanza. 231-240 [doi]
- Scenario Explorer: Interactive Visualization of Use CasesRogardt Heldal, Jenny Samuelsson, Ola Sundin. 241-252 [doi]
- Metrics for Measuring the Effectiveness of Decompilers and ObfuscatorsNomair A. Naeem, Michael Batchelder, Laurie J. Hendren. 253-258 [doi]
- Constructing Usage Scenarios for API RedocumentationJuanjuan Jiang, Johannes Koskinen, Anna Ruokonen, Tarja Systä. 259-264 [doi]
- Software Comprehension through Concern-based QueriesTommi Reinikainen, Imed Hammouda, Juha Laiho, Kai Koskimies, Tarja Systä. 265-270 [doi]
- Enforcing Constraints Between Documentary Comments and Source CodeC. Dylan Shearer, Michael L. Collard. 271-280 [doi]
- 15 Years of Program ComprehensionScott R. Tilley. 279-280 [doi]
- Designing your Next Empirical Study on Program ComprehensionMassimiliano Di Penta, R. E. Kurt Stirewalt, Eileen Kraemer. 281-285 [doi]
- Comprehending Aspect-Oriented Programs: Challenges and Open IssuesGiuseppe A. Di Lucca, Michael Smit, Bruce Fraser, Eleni Stroulia, H. James Hoover. 286-292 [doi]
- Lagrein: Visualizing User Requirements and Development EffortAndrejs Jermakovics, Marco Scotto, Alberto Sillitti, Giancarlo Succi. 293-296 [doi]
- Use of a Genetic Algorithm to Identify Source Code Metrics Which Improves Cognitive Complexity Predictive ModelsRodrigo A. Vivanco. 297-300 [doi]