2009 ICSE Workshop on Aspect-Oriented Requirements Engineering and Architecture Design 2009
DOI: 10.1109/ea.2009.5071580
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Using tagging to identify and organize concerns during pre-requirements analysis

Abstract: Before requirements analysis takes place in a business context, business analysis is usually performed. Important concerns emerge during this analysis that need to be captured and communicated to requirements engineers. In this paper, we take the position that tagging is a promising approach for identifying and organizing these concerns. The fact that tags can be attached freely to entities, often with multiple tags attached to the same entity and the same tag attached to multiple entities, leads to multi-dime… Show more

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Cited by 14 publications
(7 citation statements)
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“…This helps in maintaining the requirements through the requirement phase. In [15], Ossher et al use tagging during the pre-requirement phase.…”
Section: Related Workmentioning
confidence: 98%
“…This helps in maintaining the requirements through the requirement phase. In [15], Ossher et al use tagging during the pre-requirement phase.…”
Section: Related Workmentioning
confidence: 98%
“…In the early stages of software development, Ossher et al [14] propose tagging as a valuable approach to identify and organize concerns during early exploration in business analysis and explore how tags can be hardened as the analysis evolves. Treude and Storey [25][26][27][28] examined how tags are used by professional software developers to document work items, the different roles of tags, and how tagging mechanisms were adopted by developers.…”
Section: Tagging In Software Developmentmentioning
confidence: 99%
“…While these dimensions apply to tagging systems used by software developers, studying tagging systems used by software developers such as ICICLE [1], TagSEA [6], IBM's Jazz, BITKit [3], Google Code 4 , ConcernMapper [5] and Concern Graphs [4] reveals additional dimensions on top of Marlow's taxonomy.…”
Section: Dimensions Of Tagging Systemsmentioning
confidence: 99%