An approach to improve the quality of object-oriented models from novice modelers through project practice

Zhiyi MA

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PDF(362 KB)
Front. Comput. Sci. ›› 2017, Vol. 11 ›› Issue (3) : 485-498. DOI: 10.1007/s11704-016-5164-8
RESEARCH ARTICLE

An approach to improve the quality of object-oriented models from novice modelers through project practice

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Abstract

The defects in object-oriented models will result in poor quality of applications based on the models, and thus it is necessary to know which defects often occur in practice, to what extent they occur, why they occur, and how they can be prevented. To gain deeper insights into these problems, this paper discusses how to improve the quality of objectoriented models from novice modelers through project practice. This paper summarizes a set of typical quality defect types from a large number of the defects, and confirms them through our project practice. Moreover, the paper analyzes the improvement of the quality of object-oriented models by quantifying the level of occurrence for the defect types in different phases of the project practice, and presents preventive measures by analyzing the causes for the defects to occur in object-oriented models in the aspects of syntax, semantics, and pragmatics.

Keywords

quality defects / object-oriented models / quality analysis / project practice

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Zhiyi MA. An approach to improve the quality of object-oriented models from novice modelers through project practice. Front. Comput. Sci., 2017, 11(3): 485‒498 https://doi.org/10.1007/s11704-016-5164-8

References

[1]
AtleeJ M, Baillargeon R, ChechikM , FranceR B, GrayJ, PaigeR F, Rumpe B. Proceedings of the 5th International Workshop on Modeling in Software Engineering. In: Proceedings of the 2013 International Conference on Software Engineering. 2013, 1531–1532
[2]
HarmanM, PaigeR F, WilliamsJ R . 1st International Workshop on Combining Modeling and Search-Based Software Engineering. In: Proceedings of the 35th International Conference on Software Engineering (ICSE). 2013, 1513–1514
[3]
LangeC F J, Chaudron M R V. Effects of defects in UML models: an experimental investigation. In: Proceedings of International Conference of Software Engineering. 2006, 401–411
CrossRef Google scholar
[4]
LangeC F J. Improving the quality of UML models in practice. In: Proceedings of International Conference of Software Engineering. 2006, 20–28
CrossRef Google scholar
[5]
LangeC F J, Chaudron M R V, MuskensJ . In practice: UML software architecture and design description. IEEE Software, 2006, 23(2): 40–46
CrossRef Google scholar
[6]
LaitenbergerO, Atkinson C, SchlichM , EmamK E. An experimental comparison of reading techniques for defect detection in UML design documents. Journal of System Software, 2000, 53(2): 183–204
CrossRef Google scholar
[7]
BollojuN, LeungF S K. Assisting novice analysts in developing quality conceptual models with UML. Communication of the ACM, 2006, 49(7): 108–112
CrossRef Google scholar
[8]
SienV Y, ChongD W K. Threshold concepts in object-oriented modeling. In: Proceedings of the 7th Educators’ Symposium@MODELS: Software Modeling in Education. 2011, 55–64
[9]
PetreM. UML in practice. In: Proceedings of International Conference of Software Engineering. 2013, 722–731
CrossRef Google scholar
[10]
LangeC F J, DuboisB, ChaudronM R V , DemeyerS. An experimental investigation of UML modeling conventions. In: Proceedings of Model Driven Engineering Languages and Systems. 2006, 27–41
CrossRef Google scholar
[11]
LangeC F J, Chaudron M R V. Defects in industrial UML models– a multiple case study. In: Proceedings of Model Driven Engineering Languages and Systems. 2007, 50–79
[12]
KuzniarzL, StaronM. Inconsistencies in student designs. In: Proceedings of the 2nd Workshop on Consistency Problems in UML-based Software Development. 2003, 9–18
[13]
ConradiR, Mohagheghi P, ArifT , HegdeL C, BundeG A, PedersenA. Object-oriented reading techniques for inspection of UML models — — an industrial experiment. In: Proceedings of European Conference on Object-Oriented Programming. 2003, 403–501
CrossRef Google scholar
[14]
BoochG, Rumbaugh J, JacobsonI . Unified Modeling Language User Guide. Boston: Addison Wesley, 1999
[15]
UnhelkarB. Verification and validation for quality of UML 2.0models. New York: A Wiley-Interscience Publication, 2005
[16]
MaZ Y. Object-oriented Analysis and Design. 2nd ed.Mechanic Industry Press, 2013
[17]
MarchS T, SmithG F. Design and natural science research on information technology. Journal of Decision Support Systems, 1995, 15: 251–266
CrossRef Google scholar
[18]
HevnerA R, MarchS T, ParkJ, Ram S. Design science in information systems research. MIS Quarterly, 2004, 28: 75–105
[19]
PeffersK, Tuunanen T, RotenbergerM A , ChatterjeeS. A design science research methodology for information systems research. Journal of Management Information Systems, 2007, 24: 45–77
CrossRef Google scholar
[20]
BaskervilleR. What design science is not. European Journal of Information Systems, 2008, 17: 441–443
CrossRef Google scholar
[21]
TanX, SiauK. Design science in systems analysis and design research: the case of cognitive mapping techniques. Journal of Database Management, 2009, 20: I–IX
[22]
RajlichV. Teaching developer skills in the first software engineering course. In: Proceedings of Model Driven Engineering Languages and Systems. 2013, 1109–1116
CrossRef Google scholar
[23]
SeidlM, ClarkeP J. Software modeling education. In: Proceedings of the 7th Educators’ Symposium@MODELS: Software Modeling in Education. 2011, 71–80
CrossRef Google scholar
[24]
DobingB, Parsons J. How UML is used? Communications of the ACM, 2006, 49(5): 109–113
CrossRef Google scholar
[25]
LindlandO I, SindreG, SolvbergA. Understanding quality in conceptual modeling. IEEE Software, 1994, 11(2): 42–49
CrossRef Google scholar
[26]
NugrohoA. Level of detail in UML models and its impact on model comprehension: a controlled experiment. Information and Software Technology Journal, 2009, 51(12): 1670–1685
CrossRef Google scholar
[27]
AndersonD R, Sweeney D J, WilliamsT A . Statistics for business and economics. Cengage Learning Press, 2011, 227–228
[28]
Specification for object-oriented software system modeling (Part 3): documentation. CESI, SJ/T 11291-2003 (in Chinese)
[29]
MillerG A. The magical number seven, plus or minus two: some limits on our capacity for processing information. The Psychological Review, 1956, 63: 81–97
CrossRef Google scholar
[30]
LethbridgeT C, Diaz-Herrera J, LeblancR J , ThompsonJ B. Improving software practice through education: challenges and future trends. In: Proceedings of International Conference on Software Engineering. 2007, 12–28
CrossRef Google scholar
[31]
LangeC F J, Chaudron M R V. Managing model quality in UMLbased software development. In: Proceedings of IEEE International Workshop on Software Technology and Engineering Practice. 2005, 7–16

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