Wed 6 Sep 2023 15:45 - 16:15 at b305 - Agile & User Stories Chair(s): Jean-Michel Bruel

Requirements Technical Debt (RTD) is a research area where the Technical Debt (TD) metaphor is used to capture the consequences of sub-optimal decisions made concerning Requirements. Understanding the quantification of RTD is key to its management. To facilitate this understanding, we model the quantification of RTD. Our work is grounded in the literature found via a Systematic Mapping Study (SMS) and informed by prior work modeling the quantification of TD for software code-related TD types. This paper reports on the SMS and the development of our model, the RTD Quantification Model (RTDQM). The key observation from our work is that, although RTD is similar in most aspects to TD in software code, it also has its own components. Requirement artifacts have a feedback loop involving the User to precisely capture User Needs. RTD Interest (i.e., additional costs due to sub-optimal decisions concerning Requirements) can incur during both Requirements Engineering and Implementation activities. Furthermore, RTD can incur regardless of the presence of software code-related TD. Similar to benefits accrued by refactoring software code, rectifying RTD can also accrue benefits.

Wed 6 Sep

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

15:45 - 17:15
Agile & User StoriesResearch Papers / RE@Next! Papers / Journal-First at b305
Chair(s): Jean-Michel Bruel IRIT (CNRS and Univ. of Toulouse)
Quantifying Requirements Technical Debt: A Systematic Mapping Study and a Conceptual Model
Research Papers
A: Judith Perera University of Auckland, A: Ewan Tempero University of Auckland, A: Yu-Cheng Tu , A: Kelly Blincoe University of Auckland
Pre-print Media Attached File Attached
An Impact-Driven Approach to Predict User Stories Instability
A: Yarden Levy Ben-Gurion University of the Negev, A: Roni Stern , A: Arnon Sturm Ben-Gurion University of the Negev, A: Argaman Mordoch , A: Yuval Yarom
File Attached
Handling Uncertainty in the Development of Conversational Assistants with RELAXed User Stories
RE@Next! Papers
A: Mariana Bonito Universidade Nova de Lisboa, A: João Araújo Universidade Nova de Lisboa - Portugal, A: Joao Magalhaes Universidade NOVA de Lisboa