Supporting and accelerating reproducible research in software maintenance using tracelab component library

IEEE International Conference on Software Maintenance, ICSM

Volumn , Issue , 2013, Pages 330-339

  Dit, Bogdan ^a   Moritz, Evan ^a   Linares Vásquez, Mario ^a   Poshyvanyk, Denys ^a  

^a Dept of Economics and Thomas Jefferson Program in Public Policy at the College of William and Mary   (United States)

Author keywords

Case studies; Experiments; Reproducible; Software maintenance; TraceLab

Indexed keywords

COMPONENT LIBRARIES; ERROR-PRONE PROCESS; LONG-TERM SOLUTIONS; REPRODUCIBILITIES; REPRODUCIBLE; REPRODUCIBLE RESEARCH; RESEARCH COMMUNITIES; TRACELAB;

DATA PROCESSING; EXPERIMENTS;

COMPUTER SOFTWARE MAINTENANCE;

EID: 84891713757     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSM.2013.44     Document Type: Conference Paper

References (54)

1. B. Dit, M. Revelle, M. Gethers, and D. Poshyvanyk, "Feature Location in Source Code: A Taxonomy and Survey," Journal of Software: Evolution and Process (JSEP), vol. 25, pp. 53-95, 2013.
2. G. Robles, "Replicating MSR: A Study of the Potential Replicability of Papers Published in the Mining Software Repositories Proceedings," in MSR, 2010, pp. 171-180.
3. T. Mytkowicz, A. Diwan, M. Hauswirth, and P. Sweeney, "The Effect of Omitted-Variable Bias on the Evaluation of Compiler Optimizations," IEEE Computer, vol. 43, pp. 62-67, 2010.
4. M. D'Ambros, M. Lanza, and R. Robbes, "Evaluating Defect Prediction Approaches: a Benchmark and an Extensive Comparison," Empirical Software Engineering (ESE), vol. 17, pp. 531-577, 2012.
5. E. Barr, C. Bird, E. Hyatt, T. Menzies, and G. Robles, "On the Shoulders of Giants," in FoSER, 2010, pp. 23-28.
6. J. M. González-Barahona and G. Robles, "On the Reproducibility of Empirical Software Engineering Studies based on Data Retrieved from Development Repositories," Empirical Software Engineering (ESE), vol. 17, pp. 75-89, 2012.
7. T. Menzies, B. Caglayan, E. Kocaguneli, J. Krall, F. Peters, and B. Turhan. (2012). The PROMISE Repository of Empirical Software Engineering Data. Available: http://promisedata.googlecode.com
8. S. J. Sayyad and T. J. Menzies. (2005 July 17). The PROMISE Repository of Software Engineering Databases. Available: http://promise.site.uottawa.ca/ SERepository
9. T. Zimmermann, R. Premraj, and A. Zeller, "Predicting Defects for Eclipse," in PROMISE, 2007.
10. H. Do, S. Elbaum, and G. Rothermel, "Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact," Empirical Software Engineering, vol. 10, pp. 405-435, 2005
11. J. Cleland-Huang, A. Czauderna, A. Dekhtyar, G. O., J. Huffman Hayes, E. Keenan, G. Leach, J. Maletic, D. Poshyvanyk, Y. Shin, A. Zisman, G. Antoniol, B. Berenbach, A. Egyed, and P. Maeder, "Grand Challenges, Benchmarks, and Trace Lab: Developing Infrastructure for the Software Traceability Research Community," in TEFSE, 2011.
12. E. Keenan, A. Czauderna, G. Leach, J. Cleland-Huang, Y. Shin, E. Moritz, M. Gethers, D. Poshyvanyk, J. Maletic, J. H. Hayes, A. Dekhtyar, D. Manukian, S. Hussein, and D. Hearn, "Trace Lab: An Experimental Workbench for Equipping Researchers to Innovate, Synthesize, and Comparatively Evaluate Traceability Solutions," in ICSE, 2012, pp. 1375-1378.
13. J. Cleland-Huang, Y. Shin, E. Keenan, A. Czauderna, G. Leach, E. Moritz, M. Gethers, D. Poshyvanyk, J. H. Hayes, and W. Li, "Toward Actionable, Broadly Accessible Contests in Software Engineering," in ICSE, 2012, pp. 1329-1332.
14. Rapid-I. Rapid Miner. Available: http://rapid-i.com/content/view/181/190/
15. Mathworks. Simulink. http://www.mathworks.com/products/simulink/
16. U. of California. The Kepler Project. Available: https://kepler-project. org/
17. G. Salton, A. Wong, and C. S. Yang, "A vector space model for automatic indexing," Communications of the ACM (CACM), vol. 18, pp. 613-620, 1975.
18. T. U. of Waikato. WEKA. http://www.cs.waikato.ac.nz/ml/weka/
19. Yahoo. Yahoo Pipes. Available: http://pipes.yahoo.com/pipes/
20. T. U. of Sheffield. GATE Available: http://gate.ac.uk/
21. B. A. Kitchenham, D. Budgen, and O. P. Brereton, "Using Mapping Studies as the Basis for Further Research-A Participant-Observer Case Study," Information and Software Technology, vol. 53, pp. 638-651, 2011.
22. K. Petersen, R. Feldt, S. Mujtaba, and M. Mattsson, "Systematic Mapping Studies in Software Engineering," in 12th International Conference on Evaluation and Assessment in Software Engineering (EASE'08), 2008.
23. B. Dit, M. Revelle, and D. Poshyvanyk, "Integrating Information Retrieval, Execution and Link Analysis Algorithms to Improve Feature Location in Software," Empirical Software Engineering, vol. 18, pp. 277-309, 2013.
24. A. Abadi, M. Nisenson, and Y. Simionovici, "A Traceability Technique for Specifications," in ICPC, 2008, pp. 103-112.
25. G. Capobianco, A. De Lucia, R. Oliveto, A. Panichella, and S. Panichella, "On the role of the nouns in IR-based traceability recovery," in ICPC, 2009, pp. 148-157.
26. R. Oliveto, M. Gethers, D. Poshyvanyk, and A. De Lucia, "On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery," in ICPC, 2010, pp. 68-71.
27. H. Asuncion, A. Asuncion, and R. Taylor, "Software Traceability with Topic Modeling," in ICSE, 2010, pp. 95-104.
28. A. De Lucia, M. Di Penta, R. Oliveto, A. Panichella, and S. Panichella, "Improving IR-based Traceability Recovery Using Smoothing Filters," in ICPC, 2011, pp. 21-30.
29. X. Chen, J. Hosking, and J. Grundy, "A Combination Approach for Enhancing Automated Traceability", in ICSE, 2011, pp. 912-915.
30. M. Gethers, R. Oliveto, D. Poshyvanyk, and A. De Lucia, "On Integrating Orthogonal Information Retrieval Methods to Improve Traceability Link Recovery," in ICSM, 2011, pp. 133-142.
31. A. Panichella, C. McMillan, E. Moritz, D. Palmieri, R. Oliveto, D. Poshyvanyk, and A. De Lucia, "Using Structural Information and User Feedback to Improve IR-based Traceability Recovery," in CSMR, 2013, pp. 199-208.
32. A. Panichella, B. Dit, R. Oliveto, M. Di Penta, D. Poshyvanyk, and A. De Lucia, "How to Effectively Use Topic Models for Software Engineering Tasks? An Approach based on Genetic Algorithms," in ICSE, 2013, pp. 522-531.
33. B. Dit, A. Panichella, E. Moritz, R. Oliveto, M. Di Penta, D. Poshyvanyk, and A. De Lucia, "Configuring Topic Models for Software Engineering Tasks in Trace Lab," in TEFSE, 2013, pp. 105-109.
34. A. Marcus, A. Sergeyev, V. Rajlich, and J. Maletic, "An Information Retrieval Approach to Concept Location in Source Code," in WCRE, 2004, pp. 214-223.
35. D. Liu, A. Marcus, D. Poshyvanyk, and V. Rajlich, "Feature Location via Information Retrieval based Filtering of a Single Scenario Execution Trace," in ASE, 2007, pp. 234-243.
36. D. Poshyvanyk, Y. G. Guéhéneuc, A. Marcus, G. Antoniol, and V. Rajlich, "Feature Location using Probabilistic Ranking of Methods based on Execution Scenarios and Information Retrieval," IEEE Transactions on Software Engineering (TSE), vol. 33, pp. 420-432, 2007.
37. M. Revelle and D. Poshyvanyk, "An Exploratory Study on Assessing Feature Location Techniques," in ICPC, 2009, pp. 218-222.
38. G. Gay, S. Haiduc, M. Marcus, and T. Menzies, "On the Use of Relevance Feedback in IR-Based Concept Location," in ICSM, 2009, pp. 351-360.
39. B. Dit, L. Guerrouj, D. Poshyvanyk, and G. Antoniol, "Can Better Identifier Splitting Techniques Help Feature Location?," in ICPC, 2011, pp. 11-20.
40. G. Scanniello and A. Marcus, "Clustering Support for Static Concept Location in Source Code," in ICPC, 2011, pp. 1-10.
41. A. Wiese, V. Ho, and E. Hill, "A Comparison of Stemmers on Source Code Identifiers for Software Search," in ICSM, 2011, pp. 496-499.
42. B. Dit, E. Moritz, and D. Poshyvanyk, "A Trace Lab-based Solution for Creating, Conducting, and Sharing Feature Location Experiments," in ICPC, 2012, pp. 203-208.
43. E. Enslen, E. Hill, L. Pollock, and K. Vijay-Shanker, "Mining Source Code to Automatically Split Identifiers for Software Analysis," in MSR, 2009, pp. 71-80.
44. K. Tian, M. Revelle, and D. Poshyvanyk, "Using Latent Dirichlet Allocation for Automatic Categorization of Software," in MSR, 2009, pp. 163-166.
45. S. Haiduc, J. Aponte, and A. Marcus, "Supporting Program Comprehension with Source Code Summarization," in ICSE, 2010, pp. 223-226.
46. A. De Lucia, M. Di Penta, R. Oliveto, A. Panichella, and S. Panichella, "Using IR Methods for Labeling Source Code Artifacts: Is it Worthwhile?," in ICPC, 2012, pp. 193-202.
47. P. Runeson, M. Alexandersson, and O. Nyholm, "Detection of Duplicate Defect Reports Using Natural Language Processing," in ICSE, 2007, pp. 499-510.
48. X. Wang, L. Zhang, T. Xie, J. Anvik, and J. Sun, "An Approach to Detecting Duplicate Bug Reports using Natural Language and Execution Information," in ICSE, 2008, pp. 461-470.
49. N. Kaushik and L. Tahvildari, "A Comparative Study of the Performance of IR Models on Duplicate Bug Detection," in CSMR, 2012, pp. 159-168.
50. S. Brin and L. Page, "The Anatomy of a Large-Scale Hypertextual Web Search Engine," in 7th Int. Conference on World Wide Web, 1998, pp. 107-117.
51. J. M. Kleinberg, "Authoritative Sources in a Hyperlinked Environment," Journal of the ACM, vol. 46, pp. 604-632, 1999.
52. B. Dit, A. Holtzhauer, D. Poshyvanyk, and H. Kagdi, "Generating Benchmarks from Change History Data to Support Evaluation of Software Maintenance Tasks," in MSR Data Track, 2013, pp. 131-134.
53. A. Egyed, "A Scenario-Driven Approach to Trace Dependency Analysis," Transactions on Software Engineering (TSE), vol. 29, pp. 116-132, 2003.
54. T. Eisenbarth, R. Koschke, and D. Simon, "Feature-Driven Program Understanding Using Concept Analysis of Execution Traces," presented at the IWPC, 2001, pp. 300-309.