Tue 6 Dec 2022 15:30 - 16:00 at Seminar Room G145 - Afternoon Session B
Technical Debt (TD) captures the consequences of sub-optimal decisions made during the development of a software product. If not managed properly TD can be detrimental to the product in the long-term. To manage TD it needs to be quantified (measured). Many approaches to quantify TD have been proposed, but evaluating them is difficult. We propose TDQM — the Technical Debt Quantification Model, that captures the important concepts in TD quantification and their relationship. TDQM has been used to compare and evaluate proposed quantification approaches. TDQM will also be used to advance our knowledge about TD quantification.
Tue 6 DecDisplayed time zone: Auckland, Wellington change
Tue 6 Dec
Displayed time zone: Auckland, Wellington change
15:30 - 17:30 | |||
15:30 30mTalk | Modelling the Quantification of Technical DebtIn Person Doctoral Symposium Judith Perera University of Auckland DOI | ||
16:00 30mTalk | Towards Automated Updates of Software DependenciesIn Person Doctoral Symposium Dhanushka Jayasuriya University of Auckland DOI | ||
16:30 30mTalk | Grammar Inference for Ad Hoc ParsersIn Person Doctoral Symposium Michael Schröder TU Wien DOI Pre-print | ||
17:00 30mTalk | Program Synthesis for Artifacts beyond ProgramsIn Person Doctoral Symposium Pankaj Kumar Kalita IIT Kanpur DOI |