An extraction method to collect data on defects and effort evolution in a constantly modified system

Towards a model for optimizing technical debt in software products

“…We observe four interrelated research streams in the emerging literature on technical debt: (a) taxonomy, frameworks, and perspectives on technical debt [1,2,3,4,5,6,7,8,9]; (b) identifying, measuring, and visualizing technical debt [9,10,11,12,13,14]; (c) measuring and assessing the impact of technical debt on project and firm performance [6,15,16,17,18,19,20,21,22,23]; and (d) decision frameworks for managing technical debt [3,24,25,26,27,28,29]. Moving beyond the metaphorical conceptualization of technical debt, these four streams of research collectively pave a way to develop rigorous empirical models that could be used to derive appropriate policies for managing technical debt.…”

Technical debt prioritization: methods, techniques, and a large exploratory study

“…Conceptual /Introductory (Gomes et al, 2011), (Seaman, Yuepu Guo, et al, 2012), (Morgenthaler et al, 2012), (Falessi, Shaw, et al, 2013), (Daneva et al, 2013), (Ernst et al, 2015), (Martini and Bosch, 2015a), (Martini and Bosch, 2015b), (Leppanen et al, 2015), (Fernández-Sánchez, Garbajosa, et al, 2015), (Martini, Bosch, and Chaudron, 2015), (Riegel and Doerr, 2015), (Martini and Bosch, 2016), (Garousi and Mäntylä, 2016), (Brauer et al, 2017), (Martini and Bosch, 2017), (Hormann et al, 2017), (Becker et al, 2018), (R. d. Almeida et al, 2018), (Pina, Seaman, et al, 2022), (S. Freire, Rios, Pérez, Torres, et al, 2021), (Mandic et al, 2021), (M. Stochel et al, 2022), (Albuquerque et al, 2022), (Wiese et al, 2022), , (S. Freire, Rios, Pérez, Castellanos, et al, 2023), (Alfayez, Winn, et al, 2023(Costa et al, 2022, (Tsintzira et al, 2020), (De Toledo et al, 2022) Mathematical /Statistical (Schmid, 2013), (Fontana et al, 2015), (Skourletopoulos, Chatzimisios, et al, 2015), (Akbarinasaji, 2015), (Mohan et al, 2016), (Codabux and Williams, 2016) Code Metrics (Zazworka, Seaman, and Shull, 2011), (Snipes et al, 2012), (Falessi and Voegele, 2015), (Chatzigeorgiou et al, 2015),…”

“…They define formal ways to manage technical debt and to perform prioritization. (Gomes et al, 2011;Morgenthaler et al, 2012;Martini and Bosch, 2015a). On the other hand, Falessi et al (Falessi, Shaw, et al, 2013) and Stochel et al (M. Stochel et al, 2022) present a practical way to carry out this process without a specific method or tool.…”