Automatically prioritizing software development tasks extracted from codes could provide significant technical and organizational advantages. Tools exist for the automatic extraction of tasks, but they still lack the ability to capture their mutual dependencies; hence, the capability to prioritize them. Solving this important puzzle is the goal of the presented industrial challenge.

Bugayenko E, Bakare A, Cheverda A, Farina M, Kruglov A, Plaksin Y, et al. (2022). Automatically Prioritizing and Assigning Tasks from Code Repositories in Puzzle Driven Development. IEEE [10.1145/3524842.3528512].

Automatically Prioritizing and Assigning Tasks from Code Repositories in Puzzle Driven Development

Succi G;
2022

Abstract

Automatically prioritizing software development tasks extracted from codes could provide significant technical and organizational advantages. Tools exist for the automatic extraction of tasks, but they still lack the ability to capture their mutual dependencies; hence, the capability to prioritize them. Solving this important puzzle is the goal of the presented industrial challenge.
2022
IEEE/ACM 19th International Conference on Mining Software Repositories, MSR 2022
722
723
Bugayenko E, Bakare A, Cheverda A, Farina M, Kruglov A, Plaksin Y, et al. (2022). Automatically Prioritizing and Assigning Tasks from Code Repositories in Puzzle Driven Development. IEEE [10.1145/3524842.3528512].
Bugayenko E; Bakare A; Cheverda A; Farina M; Kruglov A; Plaksin Y; Succi G; Pedrycz W
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/892185
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