@inproceedings{Dabrowski2017538,
	series = {Proceedings - 2017 {IEEE} 25th {International} {Requirements} {Engineering} {Conference}, {RE} 2017},
	title = {Towards an adaptive framework for goal-oriented strategic decision-making},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032804371&doi=10.1109%2fRE.2017.53&partnerID=40&md5=5e7385c3eda7af27e0a8acb80332c6c0},
	doi = {10.1109/RE.2017.53},
	abstract = {[Context/Motivation]: The strategy of an organization defines its long-term goals and develop plans to achieve these goals. Strategic planning is the activity of deciding how to allocate resources within the organization to satisfy its strategy. Strategic planning precedes more detailed requirements engineering activities that clarify the requirements for the software systems concerned by the strategic plan. [Question/Problem]: Unfortunately, strategic goals are often vague and the IT projects in the strategic plans are sometimes not well aligned with these goals and not flexible enough to deal with uncertainty and changing conditions. [Previous work/Limitations]: Goal-oriented requirements engineering methods have been proposed to help strategic decision-making. These methods include various qualitative and quantitative techniques, but they lack support for deciding the timings of IT initiatives, for rigorously collecting and analyzing data to support strategic decisions, and for revising strategic plans based on changing conditions and past knowledge. [Principal ideas/Approach]: The objective of my research is to extend goal-oriented requirements engineering techniques to provide such support in the context of strategic planning activities. My approach will involve designing an adaptive framework with support for goal modelling and reasoning about the timing of IT initiatives and for enabling data-driven decisions using machine learning and Bayesian decision analysis techniques. [Contribution]: This paper presents a partial example illustrating the problems I wish to address, preliminary ideas on how to solve them, and a research roadmap to achieve my research objectives. © 2017 IEEE.},
	author = {Dabrowski, J.},
	year = {2017},
	note = {tex.art\_number: 8049180
tex.author\_keywords: business intelligence; goal modeling; requirement engineering; software engineering; strategic decision-making
tex.document\_type: Conference Paper
tex.source: Scopus},
	keywords = {\#nosource},
	pages = {538--543},
}

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[Question/Problem]: Unfortunately, strategic goals are often vague and the IT projects in the strategic plans are sometimes not well aligned with these goals and not flexible enough to deal with uncertainty and changing conditions. [Previous work/Limitations]: Goal-oriented requirements engineering methods have been proposed to help strategic decision-making. These methods include various qualitative and quantitative techniques, but they lack support for deciding the timings of IT initiatives, for rigorously collecting and analyzing data to support strategic decisions, and for revising strategic plans based on changing conditions and past knowledge. [Principal ideas/Approach]: The objective of my research is to extend goal-oriented requirements engineering techniques to provide such support in the context of strategic planning activities. My approach will involve designing an adaptive framework with support for goal modelling and reasoning about the timing of IT initiatives and for enabling data-driven decisions using machine learning and Bayesian decision analysis techniques. [Contribution]: This paper presents a partial example illustrating the problems I wish to address, preliminary ideas on how to solve them, and a research roadmap to achieve my research objectives. © 2017 IEEE.","author":[{"propositions":[],"lastnames":["Dabrowski"],"firstnames":["J."],"suffixes":[]}],"year":"2017","note":"tex.art_number: 8049180 tex.author_keywords: business intelligence; goal modeling; requirement engineering; software engineering; strategic decision-making tex.document_type: Conference Paper tex.source: Scopus","keywords":"#nosource","pages":"538–543","bibtex":"@inproceedings{Dabrowski2017538,\n\tseries = {Proceedings - 2017 {IEEE} 25th {International} {Requirements} {Engineering} {Conference}, {RE} 2017},\n\ttitle = {Towards an adaptive framework for goal-oriented strategic decision-making},\n\turl = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032804371&doi=10.1109%2fRE.2017.53&partnerID=40&md5=5e7385c3eda7af27e0a8acb80332c6c0},\n\tdoi = {10.1109/RE.2017.53},\n\tabstract = {[Context/Motivation]: The strategy of an organization defines its long-term goals and develop plans to achieve these goals. 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[Principal ideas/Approach]: The objective of my research is to extend goal-oriented requirements engineering techniques to provide such support in the context of strategic planning activities. My approach will involve designing an adaptive framework with support for goal modelling and reasoning about the timing of IT initiatives and for enabling data-driven decisions using machine learning and Bayesian decision analysis techniques. 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