@inproceedings{10.1145/3551349.3559551,
author = {Kienzle, Joerg and Combemale, Benoit and Mussbacher, Gunter and Alam, Omar and Bordeleau, Francis and Burgueno, Lola and Engels, Gregor and Galasso, Jessie and J\'{e}z\'{e}quel, Jean-Marc and Kemme, Bettina and Mosser, S\'{e}bastien and Sahraoui, Houari and Schiedermeier, Maximilian and Syriani, Eugene},
title = {Global Decision Making Over Deep Variability in Feedback-Driven Software Development},
year = {2023},
isbn = {9781450394758},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3551349.3559551},
doi = {10.1145/3551349.3559551},
abstract = {To succeed with the development of modern software, organizations must have the agility to adapt faster to constantly evolving environments to deliver more reliable and optimized solutions that can be adapted to the needs and environments of their stakeholders including users, customers, business, development, and IT. However, stakeholders do not have sufficient automated support for global decision making, considering the increasing variability of the solution space, the frequent lack of explicit representation of its associated variability and decision points, and the uncertainty of the impact of decisions on stakeholders and the solution space. This leads to an ad-hoc decision making process that is slow, error-prone, and often favors local knowledge over global, organization-wide objectives. The Multi-Plane Models and Data (MP-MODA) framework explicitly represents and manages variability, impacts, and decision points. It enables automation and tool support in aid of a multi-criteria decision making process involving different stakeholders within a feedback-driven software development process where feedback cycles aim to reduce uncertainty. We present the conceptual structure of the framework, discuss its potential benefits, and enumerate key challenges related to tool supported automation and analysis within MP-MODA.},
booktitle = {Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering},
articleno = {178},
numpages = {6},
keywords = {Feedback Loop, Iterative Software Development, MODA},
location = {Rochester, MI, USA},
series = {ASE '22}
}