research-article

Benefits from modelling and MDD adoption: expectations and achievements

Authors:

Marco Torchiano,

Federico Tomassetti,

Alessandro Tiso,

Gianna ReggioAuthors Info & Claims

EESSMod '12: Proceedings of the Second Edition of the International Workshop on Experiences and Empirical Studies in Software Modelling

Article No.: 1, Pages 1 - 6

https://doi.org/10.1145/2424563.2424565

Published: 01 October 2012 Publication History

Abstract

The adoption of Model Driven Development (MDD) promises, in the view of pundits, several benefits. This work, based on the data collected through an opinion survey with 155 Italian IT professionals, aims at performing a reality check and answering three questions: (i) Which benefits are really expected by users of modeling and MDD? (ii) How expectations and achievements differ? (iii) Which is the role of modeling experience on the ability of correctly forecasting the obtainable benefits?

Results include the identification of clusters of benefits commonly expected to be achieved together, the calculation of the rate of actual achievement of each expected benefit (varying dramatically depending on the benefit) and the "proof" that experience plays a very marginal role on the ability of predicting the actual benefits of these approaches.

References

[1]

P. Baker, L. Shiou, and F. Weil. Model-driven engineering in a large industrial context - motorola case study. In L. Briand and C. Williams, editors, Model Driven Engineering Languages and Systems, volume 3713 of Lecture Notes in Computer Science, pages 476--491. Springer Berlin / Heidelberg, 2005.

Digital Library

[2]

B. Boehm. The art of expectations management. Computer, 33(1): 122--124, jan 2000.

Digital Library

[3]

C. F. Camerer and E. F. Johnson. The process-performance paradox in expert judgment: How can the experts know so much and predict so badly? In K. A. Ericsson and J. Smith, editors, Towards a general theory of expertise: Prospects and limits. Cambridge University Press, 1991.

[4]

T. Dowling. Are software development technologies delivering their promise? In IEE Colloquium on "Are Software Development Technologies Delivering Their Promise?", pages 1/1--1/3, mar 1995.

[5]

H. Esfahani, E. Yu, and M. Annosi. Capitalizing on empirical evidence during agile adoption. In Agile Conference (AGILE), 2010, pages 21--24, aug. 2010.

Digital Library

[6]

R. M. Groves, F. J. J. Fowler, M. P. Couper, J. M. Lepkowski, E. Singer, and R. Tourangeau. Survey Methodology. John Wiley and Sons, 2009.

[7]

K. R. Hammond. Human Judgment and Social Policy: Irreducible Uncertainty, Inevitable Error, Unavoidable Injustice. Oxford University Press, USA, Oct. 2000.

[8]

J. Hossler, M. Born, and S. Saito. Significant productivity enhancement through model driven techniques: A success story. In Enterprise Distributed Object Computing Conference, 2006. EDOC '06. 10th IEEE International, pages 367--373, oct. 2006.

Digital Library

[9]

A. Jelitshka, M. Ciolkowski, C. Denger, B. Freimut, and A. Schlichting. Relevant information sources for successful technology transfer: a survey using inspections as an example. In First International Symposium on Empirical Software Engineering and Measurement, 2007. (ESEM 2007), pages 31--40. IEEE, September 2007.

Digital Library

[10]

M. Jørgensen. Estimation of software development work effort: Evidence on expert judgement and formal models. Int. Journal of Forecasting, 2007. In press.

[11]

M. Jørgensen and S. Grimstad. Software development effort estimation: Demystifying and improving expert estimation. In O. L. Aslak Tveito, Are Magnus Bruaset, editor, Simula Research Laboratory - by thinking constantly about it, chapter 26, pages 381--404. Springer, Heidelberg, 2009.

[12]

B. Kitchenham and S. Pfleeger. Personal opinion surveys. In F. Shull and Singer, editors, Guide to Advanced Empirical Software Engineering, pages 63--92. Springer London, 2008.

[13]

A. G. Kleppe, J. Warmer, and et al. MDA Explained: The Model Driven Architecture: Practice and Promise. Addison-Wesley Longman Publishing Co., Inc., 2003.

Digital Library

[14]

M. Leotta, F. Ricca, M. Ribaudo, G. Reggio, E. Astesiano, and T. Vernazza. SOA Adoption in the Italian Industry. In Proceedings of 34th International Conference on Software Engineering (ICSE 2012), pages 1441--1442. IEEE, 2012.

Digital Library

[15]

A. Loconsole and J. Borstler. Are size measures better than expert judgment? an industrial case study on requirements volatility. In Software Engineering Conference, 2007. APSEC 2007. 14th Asia-Pacific, pages 238--245, dec. 2007.

Digital Library

[16]

S. Mellor, A. Clark, and T. Futagami. Model-driven development - guest editor's introduction. Software, IEEE, 20(5): 14--18, sept.-oct. 2003.

Digital Library

[17]

D. C. Schmidt. Guest editor's introduction: Model-driven engineering. Computer, 39: 25--31, 2006.

Digital Library

[18]

J. Shanteau and T. R. Stewart. Why study expert decision making? some historical perspectives and comments. Organizational Behavior and Human Decision Processes, 53(2): 95--106, 1992.

[19]

F. Tomassetti, A. Tiso, F. Ricca, M. Torchiano, and G. Reggio. Maturity of software modelling and model driven engineering: a survey in the italian industry. In Int. Conf. Empirical Assessment and Evaluation in Software Eng. (EASE12), 2012.

[20]

M. Torchiano, M. Di Penta, F. Ricca, A. De Lucia, and F. Lanubile. Migration of information systems in the italian industry: A state of the practice survey. Information and Software Technology, 53: 71--86, January 2011.

Digital Library

[21]

M. Torchiano, F. Tomassetti, A. Tiso, F. Ricca, and G. Reggio. Preliminary findings from a survey on the MD* state of the practice. In International Symposium on Empirical Software Engineering and Measurement (ESEM 2011), pages 372--375, 2011.

Digital Library

[22]

M. Völter. MD* best practices. Journal of Object Technology, 8(6): 79--102, 2009.

Cited By

Gomes RCarvalho TBarros APinho L(2022)A Model Annotation Approach for the Support of Software Energy Properties Management using AMALTHEA2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS)10.1109/ICPS51978.2022.9816987(01-08)Online publication date: 24-May-2022
https://doi.org/10.1109/ICPS51978.2022.9816987

Index Terms

Benefits from modelling and MDD adoption: expectations and achievements
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software implementation planning
        Software design techniques
    2. Software development process management

Recommendations

Unified meta-modeling framework using bond graph grammars for conceptual modeling

Existing techniques for developing large scale complex engineering systems are predominantly software based and use Unified Modeling Language (UML). This leads to difficulties in model transformation, analysis, validation, verification and automatic code ...
Business process service oriented methodology (BPSOM) with service generation in SoaML
CAiSE'11: Proceedings of the 23rd international conference on Advanced information systems engineering

Carrying out business processes by means of software services helps to close the business-systems gap, by introducing an intermediate layer between business process definition and software systems, thus permitting not only better independence, but also ...
Extending the UML Statecharts Notation to Model Security Aspects
Model driven security has become an active area of research during the past decade. While many research works have contributed significantly to this objective by extending popular modeling notations to model security aspects, there has been little ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

EESSMod '12: Proceedings of the Second Edition of the International Workshop on Experiences and Empirical Studies in Software Modelling

October 2012

57 pages

ISBN:9781450318112

DOI:10.1145/2424563

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MODELS '12

Sponsor:

SIGSOFT

MODELS '12: ACM/IEEE 15th International Conference on Model Driven Engineering Languages and Systems

October 1 - 5, 2012

Innsbruck, Austria

Acceptance Rates

EESSMod '12 Paper Acceptance Rate 9 of 18 submissions, 50%;

Overall Acceptance Rate 9 of 18 submissions, 50%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
164
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 07 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Gomes RCarvalho TBarros APinho L(2022)A Model Annotation Approach for the Support of Software Energy Properties Management using AMALTHEA2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS)10.1109/ICPS51978.2022.9816987(01-08)Online publication date: 24-May-2022
https://doi.org/10.1109/ICPS51978.2022.9816987

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents