SRIDHARAN, Murali, MÄNTYLÄ, Mika und RANTALA, Leevi, 2025. Detection, classification and prevalence of self-admitted aging debt. Empirical Software Engineering. 1 Oktober 2025. Vol. 30, no. 5, p. 1-50. DOI 10.1007/s10664-025-10696-0.
Elsevier - Harvard (with titles)Sridharan, M., Mäntylä, M., Rantala, L., 2025. Detection, classification and prevalence of self-admitted aging debt. Empirical Software Engineering 30, 1-50. https://doi.org/10.1007/s10664-025-10696-0
American Psychological Association 7th editionSridharan, M., Mäntylä, M., & Rantala, L. (2025). Detection, classification and prevalence of self-admitted aging debt. Empirical Software Engineering, 30(5), 1-50. https://doi.org/10.1007/s10664-025-10696-0
Springer - Basic (author-date)Sridharan M, Mäntylä M, Rantala L (2025) Detection, classification and prevalence of self-admitted aging debt.. Empirical Software Engineering 30:1-50. https://doi.org/10.1007/s10664-025-10696-0
Juristische Zitierweise (Stüber) (Deutsch)Sridharan, Murali/ Mäntylä, Mika/ Rantala, Leevi, Detection, classification and prevalence of self-admitted aging debt., Empirical Software Engineering 2025, 1-50.