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Reproducibility in the technical debt domain Cover

References

  1. S. Ahmadjee, C. Mera-Gómez, R. Bahsoon, Assessing Smart Contracts Security Technical Debts, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, pp. 6-15. ⇒35010.1109/TechDebt52882.2021.00010
  2. A. Aldaeej, C. Seaman, From Lasagna to Spaghetti: A Decision Model to Manage Defect Debt, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, pp. 67-71. ⇒34810.1145/3194164.3194177
  3. R. Alfayez, W. Alwehaibi, R. Winn, E. Venson, B. Boehm, A systematic literature review of technical debt prioritization, In Proceedings of the 3rd International Conference on Technical Debt (TechDebt ’20), 2020, pp. 1–10. ⇒34110.1145/3387906.3388630
  4. R. R. Alfayez, P. Behnamghader, K. Srisopha, B. Boehm, An Exploratory Study on the Influence of Developers in Technical Debt, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, pp. 1-10. ⇒34810.1145/3194164.3194165
  5. S. Alhusain, Predicting Relative Thresholds for Object Oriented Metrics, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, pp. 55-63. ⇒35110.1109/TechDebt52882.2021.00015
  6. T. Amanatidis, N. Mittas, A. Chatzigeorgiou, A. Ampatzoglou, L. Angelis, The Developer’s Dilemma: Factors A ecting the Decision to Repay Code Debt, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, pp. 62-66. ⇒34810.1145/3194164.3194174
  7. A. Ampatzoglou, A. Ampatzoglou, A. Chatzigeorgiou, P. Avgeriou, P. Abrahamsson, A. Martini, U. Zdun, K. Systa, The Perception of Technical Debt in the Embedded Systems Domain: An Industrial Case Study, 2016 IEEE 8th International Workshop on Managing Technical Debt (MTD), 2016, pp. 9-16. ⇒34710.1109/MTD.2016.8
  8. A. Ampatzoglou, A. Michailidis, C. Sarikyriakidis, A. Ampatzoglou, A. Chatzigeorgiou, P. Avgeriou, A Framework for Managing Interest in Technical Debt: An Industrial Validation, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, pp. 115-124. ⇒337, 347, 349, 35210.1145/3194164.3194175
  9. M. F. Aniche, G. A. Oliva, M. A. Gerosa, Are the Methods in Your Data Access Objects (DAOs) in the Right Place? A Preliminary Study, Sixth International Workshop on Managing Technical Debt (MTD ’14), 2014, pp. 47-50. ⇒34510.1109/MTD.2014.14
  10. P. C. Avgeriou, D. Taibi, A. Ampatzoglou, A. F. Fontana, T. Besker, A. Chatzigeorgiou, V. Lenarduzzi, A. Martini, A. Moschou, I. Pigazzini, N. Saarim¨aki, D. Sas, S. Toledo, A. Tsintzira. An Overview and Comparison of Technical Debt Measurement Tools, in IEEE Software, vol. 38, no. 3, pp. 61-71, May-June 2021. ⇒336, 33810.1109/MS.2020.3024958
  11. B. Barta, G. Manz, I. Siket, R. Ferenc, Challenges of SonarQube Plug-In Maintenance, IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER), 2019, pp. 574-578. ⇒336, 33810.1109/SANER.2019.8667988
  12. T. Besker, A. Martini, J. Bosch, Technical debt cripples software developer productivity: a longitudinal study on developers’ daily software development work, In Proceedings of the 2018 IEEE/ACM International Conference on Technical Debt (TechDebt ’18), 2018, pp. 105–114. ⇒34110.1145/3194164.3194178
  13. J. Bohnet, J. Döllner, Monitoring code quality and development activity by software maps, In Proceedings of the 2nd Workshop on Managing Technical Debt (MTD ’11), ACM, 2011, New York, NY, USA, 9–16. ⇒34110.1145/1985362.1985365
  14. N. Brown, Y.g Cai, Y. Guo, R. Kazman, M. Kim, P. Kruchten, E. Lim, A. MacCormack, R. L. Nord, I. Ozkaya, R. Sangwan, C. Seaman, K. Sullivan, N. Zazworka, Managing technical debt in software-reliant systems, In Proceedings of the FSE/SDP workshop on Future of software engineering research (FoSER ’10), 2010, pp. 47–52. ⇒337, 338, 341, 342, 34310.1145/1882362.1882373
  15. R. Capilla, T. Mikkonen, C. Carrillo, F. A. Fontana, I. Pigazzini, V. Lenarduzzi, Impact of Opportunistic Reuse Practices to Technical Debt, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, pp. 16-25. ⇒35110.1109/TechDebt52882.2021.00011
  16. A. Chatzigeorgiou, A. Ampatzoglou, A. Ampatzoglou, T. Amanatidis, Estimating the breaking point for technical debt, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, pp. 53-56. ⇒34610.1109/MTD.2015.7332625
  17. Carnegie Mellon University, Software Engineering Institute, Managing Technical Debt Workshops, previous editions, 2010, https://resources.sei.cmu.edu/news-events/events/techdebt/past.cfm, last visited: 2021.10.05. ⇒342, 345
  18. Y. Crespo, A. Gonzalez-Escribano, M. Piattini, Carrot and Stick approaches revisited when managing Technical Debt in an educational context, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, pp. 99-108. ⇒35110.1109/TechDebt52882.2021.00020
  19. D. Cruz, A. Santana, E. Figueiredo, Detecting bad smells with machine learning algorithms: an empirical study, In Proceedings of the 3rd International Conference on Technical Debt (TechDebt ’20), 2020, ACM, New York, NY, USA, 31–40. ⇒35010.1145/3387906.3388618
  20. W. Cunningham, The WyCash Portfolio Management System, In Addendum to the proceedings on Object-oriented programming systems, languages, and applications (Addendum) (OOPSLA ’92). ACM, NY, USA, 1992, 29–30. ⇒33710.1145/157709.157715
  21. B. Curtis, J. Sappidi, A. Szynkarski, Estimating the size, cost, and types of Technical Debt, Third International Workshop on Managing Technical Debt (MTD’12), 2012, pp. 49-53. ⇒34410.1109/MTD.2012.6226000
  22. R. R. de Almeida, R. do Nascimento Ribeiro, C. Treude, U. Kulesza, Business-Driven Technical Debt Prioritization: An Industrial Case Study, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, pp. 74-83. ⇒35110.1109/TechDebt52882.2021.00017
  23. M. A. de Freitas Farias, M. G. de Mendonça Neto, A. B. d. Silva, R. O. Spínola, A Contextualized Vocabulary Model for identifying technical debt on code comments, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, pp. 25-32. ⇒34610.1109/MTD.2015.7332621
  24. J. de Groot, A. Nugroho, T. B¨ack, J. Visser, What is the value of your software?, Third International Workshop on Managing Technical Debt (MTD’12), 2012, pp. 37-44. ⇒34410.1109/MTD.2012.6225998
  25. M. di Biase, A. Rastogi, M. Bruntink, A. van Deursen, The Delta Maintainability Model: Measuring Maintainability of Fine-Grained Code Changes, 2019 IEEE/ACM International Conference on Technical Debt (TechDebt), 2019, pp. 113-122. ⇒34910.1109/TechDebt.2019.00030
  26. D. Falessi, R. Kazman, Worst Smells and Their Worst Reasons, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, pp. 45-54. ⇒35110.1109/TechDebt52882.2021.00014
  27. D. Falessi, P. Kruchten, R. L. Nord, I. Ozkaya, Technical debt at the crossroads of research and practice: report on the fifth international workshop on managing technical debt, 2014, SIGSOFT Softw. Eng. Notes 39, 2, 31–33. ⇒343, 34510.1145/2579281.2579311
  28. D. Falessi, A. Reichel, Towards an open-source tool for measuring and visualizing the interest of technical debt, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, pp. 1-8. ⇒34610.1109/MTD.2015.7332618
  29. D. Falessi, A. Voegele, Validating and prioritizing quality rules for managing technical debt: An industrial case study, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, pp. 41-48. ⇒34710.1109/MTD.2015.7332623
  30. F. A. Fontana, V. Ferme, S. Spinelli, Investigating the impact of code smells debt on quality code evaluation, Third International Workshop on Managing Technical Debt (MTD’12), 2012, pp. 15-22. ⇒34410.1109/MTD.2012.6225993
  31. F. A. Fontana, V. Ferme, M. Zanoni, R. Roveda, Towards a prioritization of code debt: A code smell Intensity Index, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, pp. 16-24. ⇒34610.1109/MTD.2015.7332620
  32. F. A. Fontana, R. Roveda, M. Zanoni, Technical Debt Indexes Provided by Tools: A Preliminary Discussion, 2016 IEEE 8th International Workshop on Managing Technical Debt (MTD), 2016, pp. 28-31. ⇒34710.1109/MTD.2016.11
  33. I. Gat, J. D. Heintz, From assessment to reduction: how cutter consortium helps rein in millions of dollars in technical debt, In Proceedings of the 2nd Workshop on Managing Technical Debt (MTD ’11), 2011, Waikiki, Honolulu, HI, USA, 24–26. ⇒34310.1145/1985362.1985368
  34. R. Gomes, C. Siebra, G. Tonin, A. Cavalcanti, Fabio Q.B. da Silva, Andre L.M. Santos, R. Marques, An extraction method to collect data on defects and e ort evolution in a constantly modified system, In Proceedings of the 2nd Workshop on Managing Technical Debt (MTD ’11), 2011, Waikiki, Honolulu, HI, USA, 27–30. ⇒34310.1145/1985362.1985369
  35. I. Gri th, D. Reimanis, C. Izurieta, Z. Codabux, A. Deo, B. Williams, The Correspondence Between Software Quality Models and Technical Debt Estimation Approaches, Sixth International Workshop on Managing Technical Debt (MTD ’14), 2014, pp. 19-26. ⇒34510.1109/MTD.2014.13
  36. I. Khomyakov, Z. Makhmutov, R. Mirgalimova, A. Sillitti, 2019, Automated Measurement of Technical Debt: A Systematic Literature Review, In Proceedings of the 21st International Conference on Enterprise Information Systems -Volume 2(ICEIS), 2019, pages 95-106. ⇒33810.5220/0007675900950106
  37. J. R. Lahti, A. -P. Tuovinen, T. Mikkonen, Experiences on Managing Technical Debt with Code Smells and AntiPatterns, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, pp. 36-44. ⇒35110.1109/TechDebt52882.2021.00013
  38. V. Lenarduzzi, T. Besker, D. Taibi, A. Martini, F. A. Fontana, Technical Debt Prioritization: State of the Art. A Systematic Literature Review, arXiv:1904.12538. ⇒338
  39. V. Lenarduzzi, F. Lomio, H. Huttunen, D. Taibi, Are SonarQube Rules Inducing Bugs?, IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER), 2020, pp. 501-511. ⇒336, 33910.1109/SANER48275.2020.9054821
  40. V. Lenarduzzi, V. Mandić, A. Katin, D. Taibi, How long do Junior Developers take to Remove Technical Debt Items?, In Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement(ESEM ’20), 2020, Article 30, 1–6. ⇒336, 33810.1145/3382494.3422169
  41. A. Lerina, L. Nardi, Investigating on the Impact of Software Clones on Technical Debt, 2019 IEEE/ACM International Conference on Technical Debt (TechDebt), 2019, pp. 108-112. ⇒34910.1109/TechDebt.2019.00029
  42. E. d. S. Maldonado, E. Shihab, Detecting and quantifying di erent types of self-admitted technical Debt, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, pp. 9-15. ⇒34610.1109/MTD.2015.7332619
  43. M. A. Al Mamun, C. Berger, J. Hansson, Explicating, Understanding, and Managing Technical Debt from Self-Driving Miniature Car Projects, Sixth International Workshop on Managing Technical Debt (MTD ’14), 2014, pp. 11-18. ⇒34610.1109/MTD.2014.15
  44. D. Marcilio, R. Bonifácio, E. Monteiro, E. Canedo, W. Luz, G. Pinto, Are Static Analysis Violations Really Fixed? A Closer Look at Realistic Usage of Sonar-Qube, IEEE/ACM 27th International Conference on Program Comprehension (ICPC), 2019, pp. 209-219. ⇒336, 33910.1109/ICPC.2019.00040
  45. J. Y. Monteith, J. D. McGregor, Exploring software supply chains from a technical debt perspective, 4th International Workshop on Managing Technical Debt (MTD ’13), 2013, pp. 32-38. ⇒34410.1109/MTD.2013.6608676
  46. A. Mori, G. Vale, M. Viggiato, J. Oliveira, E. Figueiredo, E. Cirilo, P. Jamshidi, C. Kastner, Evaluating Domain-Specific Metric Thresholds: An Empirical Study, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, pp. 41-50. ⇒34810.1145/3194164.3194173
  47. A. Nugroho, J. Visser, T. Kuipers, An empirical model of technical debt and interest, In Proceedings of the 2nd Workshop on Managing Technical Debt (MTD ’11), 2011, Waikiki, Honolulu, HI, USA, 1–8. ⇒34310.1145/1985362.1985364
  48. E. Parodi, S. Matalonga, D. Macchi, M. Solari, Comparing technical debt in student exercises using test driven development, test last and ad hoc programming, 2016 XLII Latin American Computing Conference (CLEI), 2016, pp. 1-10. ⇒336, 33810.1109/CLEI.2016.7833380
  49. I. Pigazzini, F. A. Fontana, V. Lenarduzzi, D. Taibi, Towards microservice smells detection, In Proceedings of the 3rd International Conference on Technical Debt (TechDebt ’20), 2020, ACM, New York, NY, USA, 92–97. ⇒35010.1145/3387906.3388625
  50. R. Plösch, J. Br¨auer, M. Saft and C. Körner, Design Debt Prioritization: A Design Best Practice-Based Approach, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, pp. 95-104. ⇒34810.1145/3194164.3194172
  51. W. W. Royce, Managing the development of large software systems, Proceedings of IEEE WESCON, 1970, pp. 1–9. ⇒337
  52. N. Saarim¨aki, M. T. Baldassarre, V. Lenarduzzi and S. Romano, On the Accuracy of SonarQube Technical Debt Remediation Time, 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2019, pp. 317-324. ⇒336, 33810.1109/SEAA.2019.00055
  53. V. Lenarduzzi, N. Saarim¨aki, D. Taibi, On the Di useness of Code Technical Debt in Java Projects of the Apache Ecosystem, 2019 IEEE/ACM International Conference on Technical Debt (TechDebt), 2019, pp. 98-107. ⇒34910.1109/TechDebt.2019.00028
  54. A. Shapochka, B. Omelayenko, Practical Technical Debt Discovery by Matching Patterns in Assessment Graph, 2016 IEEE 8th International Workshop on Managing Technical Debt (MTD), 2016, pp. 32-35. ⇒34710.1109/MTD.2016.7
  55. V. Singh, W. Snipes, N. A. Kraft, A Framework for Estimating Interest on Technical Debt by Monitoring Developer Activity Related to Code Comprehension, Sixth International Workshop on Managing Technical Debt (MTD ’14), 2014, pp. 27-30. ⇒34510.1109/MTD.2014.16
  56. A. Sundelin, J. Gonzalez-Huerta, K. Wnuk, The hidden cost of backward compatibility: when deprecation turns into technical debt - an experience report, In Proceedings of the 3rd International Conference on Technical Debt (TechDebt ’20), 2020, ACM, New York, NY, USA, 67–76. ⇒35010.1145/3387906.3388629
  57. K. Szabados and A. Kovács, Technical debt of standardized test software, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, pp. 57-60. ⇒34610.1109/MTD.2015.7332626
  58. R. Szalay,Á. Sinkovics, Z. Porkoláb, The Role of Implicit Conversions in Erroneous Function Argument Swapping in C++, 20th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2020, pp. 203-214. ⇒33610.1109/SCAM51674.2020.00028
  59. J. Tan, D. Feitosa, P. Avgeriou, An empirical study on self-fixed technical debt, In Proceedings of the 3rd International Conference on Technical Debt (TechDebt ’20), 2020, ACM, New York, NY, USA, 11–20. ⇒35010.1145/3387906.3388621
  60. A. Tornhill, Prioritize Technical Debt in Large-Scale Systems Using CodeScene, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, pp. 59-60. ⇒34810.1145/3194164.3194187
  61. P. Wang, J. Yang, L. Tan, R. Kroeger, J. David Morgenthaler, Generating precise dependencies for large software, 4th International Workshop on Managing Technical Debt (MTD ’13), 2013, pp. 47-50. ⇒34510.1109/MTD.2013.6608678
  62. N. Zazworka, C. Seaman, F. Shull, Prioritizing design debt investment opportunities, In Proceedings of the 2nd Workshop on Managing Technical Debt (MTD ’11), 2011, pp. 39–42. ⇒34410.1145/1985362.1985372
  63. N. Zazworka, C. Seaman, F. Shull, MTD ’11: Proceedings of the 2nd Workshop on Managing Technical Debt, 2011, ACM, New York, NY, USA. ⇒337, 338, 341, 343
  64. N. Zazworka, C. Seaman, F. Shull, MTD ’12: Proceedings of the Third International Workshop on Managing Technical Debt, 2012, IEEE Press ⇒337, 338, 341, 343, 344
  65. N. Zazworka, C. Seaman, F. Shull, MTD ’13: Proceedings of the 4th International Workshop on Managing Technical Debt, 2013, IEEE Press. ⇒337, 338, 341, 343, 344
  66. N. Zazworka, C. Seaman, F. Shull, MTD ’14: Proceedings of the 2014 Sixth International Workshop on Managing Technical Debt, 2014, IEEE Computer Society. ⇒337, 338, 341, 343, 345
  67. N. Zazworka, C. Seaman, F. Shull, 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 2015, IEEE Computer Society. ⇒337, 338, 341, 343, 346
  68. N. Zazworka, C. Seaman, F. Shull, 2016 IEEE 8th International Workshop on Managing Technical Debt (MTD), 2016, IEEE Computer Society. ⇒337, 338, 341, 343, 347
  69. N. Zazworka, C. Seaman, F. Shull, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt), 2018, IEEE Computer Society. ⇒337, 338, 341, 343, 347
  70. N. Zazworka, C. Seaman, F. Shull, 2019 IEEE/ACM International Conference on Technical Debt (TechDebt), 2019, IEEE Computer Society. ⇒337, 338, 341, 343, 348
  71. N. Zazworka, C. Seaman, F. Shull, TechDebt ’20: Proceedings of the 3rd International Conference on Technical Debt, 2020, ACM, New York, NY, USA. ⇒337, 338, 341, 343, 350
  72. N. Zazworka, C. Seaman, F. Shull, 2021 IEEE/ACM International Conference on Technical Debt (TechDebt), 2021, IEEE Computer Society. ⇒337, 338, 341, 343, 350
Language: English
Page range: 335 - 360
Submitted on: Oct 28, 2021
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Accepted on: Dec 14, 2021
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Published on: Feb 2, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2022 Kristóf Szabados, Izabella Ingrid Farkas, Attila Kovács, published by Sapientia Hungarian University of Transylvania
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