Business-Driven Technical Debt Management

tdm

In this project, we develop a business-driven technical debt management approach to identify, monitor, and prioritize technical debt. The approach requires a structured view of the business value that systems and products generate for the company and its customers. We are also working on a tool (Tracy-TD) that helps in this process.

Our business-driven approach is being validated (all of its concepts, rules, and information are being tested) in the industry. Our goal is to ensure that business-driven prioritization is compatible with business interests. From the proposed approach, it is possible to identify the technical debt items with the most significant potential for business impact. The information can help the decision-making of both business and technical stakeholders. It is possible to answer questions such as: what technical debt items can affect the company's core business? What items can affect a specific customer? What items can affect a strategic objective? Which elements of the systems are most affected by technical debt? Which items affect each service, server, database, and module of my products?

Edital de Seleção: Projeto Ger. Dívidas Técnicas (ABR 2021)

J.D.S., Neto, J.G., Kulesza, U., Freitas, G., Reboucas, R., Coelho, R. (2022). Exploring Technical Debt Tools: A Systematic Mapping Study. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2021. Lecture Notes in Business Information Processing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-031-08965-7_14
F. T. Da Silva, E. O. S. De Souza, R. R. De Almeida and W. B. Santos, “Business-Driven Technical Debt Prioritization: A Replication Study,” 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022, pp. 1-6, doi: 10.23919/CISTI54924.2022.9820390.
Preprint: Beyond tight deadlines: what are the business causes for technical debt?, Rodrigo Rebouças de Almeida, Christoph Treude, Uirá Kulesza, 2021.
Technical Debt Tools: A Systematic Mapping Study, Diego Saraiva, José Neto, Uirá Kulesza, Guilherme Freitas, Rodrigo Reboucas, and Roberta Coelho, Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8 ISSN 2184-4992, pages 88-98. DOI: 10.5220/0010459100880098
Business-Driven Technical Debt Prioritization: An Industrial Case Study, Rodrigo Rebouças de Almeida, Rafael do Nascimento Ribeiro, Christoph Treude, Uirá Kulesza]], International Conference on Technical Debt 2021 ★ best paper award ★
Tracy: A Business-driven Technical Debt Prioritization Framework, Rodrigo Rebouças de Almeida, Christoph Treude, Uirá Kulesza, 2019 International Conference on Software Maintenance and Evolution (ICSME), 2019
Business-Driven Technical Debt Prioritization, Rodrigo Rebouças de Almeida, International Conference on Software Maintenance and Evolution (ICSME) - Doctoral Symposium, 2019
Aligning Technical Debt Prioritization with Business Objectives: A Multiple-case Study, Rodrigo Rebouças de Almeida, Uirá Kulesza, Christoph Treude, D'angellys Cavalcanti Feitosa and Aliandro Lima, IEEE International Conference on Software Maintenance and Evolution (ICSME), 2018