Understandability of Goal Concepts by Requirements Engineering Experts

Wilco Engelsman; Roel Wieringa

doi:10.1007/978-3-319-12256-4_10

Understandability of Goal Concepts by Requirements Engineering Experts

Wilco Engelsman
, Roel Wieringa

Semantics, Cybersecurity & Services

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

123 Downloads (Pure)

Abstract

ARMOR is a graphical language for modeling business goals and enterprise architectures. In previous work we have identified problems with understandability of goal-oriented concepts for practicing enterprise architects. In this paper we replicate the earlier quasi-experiments with experts in requirements engineering, to see if similar problems arise. We found that fewer mistakes were made in this replication than were made in the previous experiment with practitioners, but that the types of mistakes made in all the concepts were similar to the mistakes made in our previous experiments with enterprise architects. The stakeholder concept was used perfectly by our sample, but the goal decomposition relation was not understood. The subjects provided explanations for understandability problems that are similar to our previous hypothesized explanations. By replicating some of our earlier results, this paper provides additional support for the generalizability of our earlier results.

Original language	English
Title of host publication	Advances in conceptual modeling
Subtitle of host publication	ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Atlanta, GA, USA, October 27-29, 2014. Proceedings
Place of Publication	London
Publisher	Springer
Pages	97-106
Number of pages	10
ISBN (Electronic)	978-3-319-12256-4
ISBN (Print)	978-3-319-12255-7
DOIs	https://doi.org/10.1007/978-3-319-12256-4_10
Publication status	Published - 2014
Event	1st International Workshop on Conceptual Modeling in Requirements and Business Analysis, MReBA 2014 of the 33rd International Conference on Conceptual Modeling, ER 2014 - Atlanta, United States Duration: 27 Oct 2014 → 30 Oct 2014 Conference number: 1

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	8823
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	1st International Workshop on Conceptual Modeling in Requirements and Business Analysis, MReBA 2014 of the 33rd International Conference on Conceptual Modeling, ER 2014
Abbreviated title	ER 2014
Country/Territory	United States
City	Atlanta
Period	27/10/14 → 30/10/14

Keywords

SCS-Services
n/a OA procedure

Access to Document

10.1007/978-3-319-12256-4_10

Cite this

Engelsman, W., & Wieringa, R. (2014). Understandability of Goal Concepts by Requirements Engineering Experts. In Advances in conceptual modeling: ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Atlanta, GA, USA, October 27-29, 2014. Proceedings (pp. 97-106). (Lecture Notes in Computer Science; Vol. 8823). Springer. https://doi.org/10.1007/978-3-319-12256-4_10

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title = "Understandability of Goal Concepts by Requirements Engineering Experts",

abstract = "ARMOR is a graphical language for modeling business goals and enterprise architectures. In previous work we have identified problems with understandability of goal-oriented concepts for practicing enterprise architects. In this paper we replicate the earlier quasi-experiments with experts in requirements engineering, to see if similar problems arise. We found that fewer mistakes were made in this replication than were made in the previous experiment with practitioners, but that the types of mistakes made in all the concepts were similar to the mistakes made in our previous experiments with enterprise architects. The stakeholder concept was used perfectly by our sample, but the goal decomposition relation was not understood. The subjects provided explanations for understandability problems that are similar to our previous hypothesized explanations. By replicating some of our earlier results, this paper provides additional support for the generalizability of our earlier results.",

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Engelsman, W & Wieringa, R 2014, Understandability of Goal Concepts by Requirements Engineering Experts. in Advances in conceptual modeling: ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Atlanta, GA, USA, October 27-29, 2014. Proceedings. Lecture Notes in Computer Science, vol. 8823, Springer, London, pp. 97-106, 1st International Workshop on Conceptual Modeling in Requirements and Business Analysis, MReBA 2014 of the 33rd International Conference on Conceptual Modeling, ER 2014, Atlanta, Georgia, United States, 27/10/14. https://doi.org/10.1007/978-3-319-12256-4_10

Understandability of Goal Concepts by Requirements Engineering Experts. / Engelsman, Wilco; Wieringa, Roel.
Advances in conceptual modeling: ER 2014 Workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Atlanta, GA, USA, October 27-29, 2014. Proceedings. London: Springer, 2014. p. 97-106 (Lecture Notes in Computer Science; Vol. 8823).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Wieringa, Roel

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N2 - ARMOR is a graphical language for modeling business goals and enterprise architectures. In previous work we have identified problems with understandability of goal-oriented concepts for practicing enterprise architects. In this paper we replicate the earlier quasi-experiments with experts in requirements engineering, to see if similar problems arise. We found that fewer mistakes were made in this replication than were made in the previous experiment with practitioners, but that the types of mistakes made in all the concepts were similar to the mistakes made in our previous experiments with enterprise architects. The stakeholder concept was used perfectly by our sample, but the goal decomposition relation was not understood. The subjects provided explanations for understandability problems that are similar to our previous hypothesized explanations. By replicating some of our earlier results, this paper provides additional support for the generalizability of our earlier results.

AB - ARMOR is a graphical language for modeling business goals and enterprise architectures. In previous work we have identified problems with understandability of goal-oriented concepts for practicing enterprise architects. In this paper we replicate the earlier quasi-experiments with experts in requirements engineering, to see if similar problems arise. We found that fewer mistakes were made in this replication than were made in the previous experiment with practitioners, but that the types of mistakes made in all the concepts were similar to the mistakes made in our previous experiments with enterprise architects. The stakeholder concept was used perfectly by our sample, but the goal decomposition relation was not understood. The subjects provided explanations for understandability problems that are similar to our previous hypothesized explanations. By replicating some of our earlier results, this paper provides additional support for the generalizability of our earlier results.

KW - SCS-Services

KW - n/a OA procedure

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Understandability of Goal Concepts by Requirements Engineering Experts

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