Abstract
Techniques are described herein for a data-driven Technical Debt (TD) analytics platform that allows executives and product development teams to optimally track, manage, and repay TD early in the software development life cycle. This may improve team productivity, address the problem of software TD holistically in the code-to-customer lifecycle, and yield long term benefits. Thus, the platform provides additions to savings, improved customer experience, and enhanced serviceability.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Pathak, Abhishek; Sivakumar, Kaarthik; Mukund, Laxmi; and Gowda, Ashok, "SERVICE REQUEST SPEND BASED DATA-DRIVEN TECHNICAL DEBT CHARACTERIZATION IN COMPLEX SOFTWARE SYSTEMS", Technical Disclosure Commons, (August 26, 2019)
https://www.tdcommons.org/dpubs_series/2424