Skip to main content
SpringerLink
Log in

Requirements model driven adaption and evolution of Internetware

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

Today’s software systems need to support complex business operations and processes. The development of the web-based software systems has been pushing up the limits of traditional software engineering methodologies and technologies as they are required to be used and updated almost real-time, so that users can interact and share the same applications over the internet as needed. These applications have to adapt quickly to the diversified and dynamic changing requirements in the physical, technological, economical and social environments. As a consequence, we are expecting a major paradigm shift in software engineering to reflect such changes in computing environment in order to better address the fundamental needs of organisations in this new era. Existing software technologies, such as model driven development, business process engineering, online (re-)configuration, composition and adaptation of managerial functionalities are being repurposed to reduce the time taken for software development by reusing software codes. The ability to dynamically combine contents from numerous web sites and local resources, and the ability to instantly publish services worldwide have opened up entirely new possibilities for software development. In retrospect to the ten years applied research on Internetware, we have witnessed such a paradigm shift, which brings about many changes to the developmental experience of conventional web applications. Several related technologies, such as cloud computing, service computing, cyber-physical systems and social computing, have converged to address this emerging issue with emphasis on different aspects. In this paper, we first outline the requirements that the Internetware software paradigm should meet to excel at web application adaptation; we then propose a requirement model driven method for adaptive and evolutionary applications; and we report our experiences and case studies of applying it to an enterprise information system. Our goal is to provide high-level guidelines to researchers and practitioners to meet the challenges of building adaptive industrial-strength applications with the spectrum of processes, techniques and facilities provided within the Internetware paradigm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Li Y, Zhou M, You C, et al. Enabling on demand deployment of middleware services in componentized middleware. In: the 13th International Symposium on Component-Based Software Engineering, Prague, 2010. 113–129

    Chapter  Google Scholar 

  2. Lv J, Ma X, Tao X, et al. On environment-driven software model for Internetware. Sci China Ser F-Inf Sci, 2008, 51: 683–721

    Google Scholar 

  3. Mei H, Huang G, Zhao H, et al. A software architecture centric engineering approach for Internetware. Sci China Ser F-Inf Sci, 2006, 49: 702–730

    Article  Google Scholar 

  4. Zheng L, Tang J, Jin Z. An agent based framework for Internetware computing. Int J Softw Inf, 2010, 4: 401–418

    Google Scholar 

  5. Clement B J, Durfee E H. Theory for coordinating concurrent hierarchical planning agents using summary information. In: Proceedings of the 16th National Conference on Artificial Intelligence and the 11th Innovative Applications of Artificial Intelligence Conference Innovative Applications of Artificial Intelligence, Orlando, 1999. 495–502

    Google Scholar 

  6. Tang J, Jin Z. Assignment problem in requirements driven agent collaboration and its implementation. In: Proceedings of the 9th International Conference on Autonomous Agents and Multi-agent Systems, Toronto, 2010. 839–846

    Google Scholar 

  7. Chauvel F, Song H, Chen X, et al. Using QoS-contracts to drive architecture-centric self-adaptation. In: Proceedings of the 6th International Conference on Quality of Software Architectures: Research into Practice-Reality and Gaps. Berlin/Heidelberg: Springer-Verlag, 2010. 102–118

    Google Scholar 

  8. Fickas S, Feather M. Requirements monitoring in dynamic environments. In: the 2nd IEEE International Symposium on Requirements Engineering, York, 1995. 140–147

    Google Scholar 

  9. Verlaine B, Dubois E, Jureta I, et al. Towards conceptual foundations for service-oriented requirements engineering: bridging requirements and services ontologies. IET Softw, 2012, 6: 85–102

    Article  Google Scholar 

  10. Cheng B H C, de Lemos R, Giese H, et al., eds. Software Engineering for Self-Adaptive Systems: a Research Roadmap. Berlin/Heidelberg: Springer-Verlag, 2009. 1–26

    Google Scholar 

  11. Aoyama M. Process and economic model of component-based software development. In: the 5th IEEE Symposium on Assessment of Software Tools, Pittsburgh, 2007. 100–103

    Google Scholar 

  12. Wei Y, Furia C A, Kazmin N, et al. Inferring better contracts. In: the 33rd International Conference on Software Engineering, Honolulu, 2011. 191–200

    Google Scholar 

  13. Yu E. Towards modelling and reasoning support for early-phase requirements engineering. In: Proceedings of the 3rd IEEE International Symposium on Requirements Engineering, Annapolis, 1997. 226–235

    Chapter  Google Scholar 

  14. Dalkey N. The Delphi method: an experimental study of group opinion. Futures, 1969, 1: 408–426

    Article  Google Scholar 

  15. Saaty T. Decision making with the analytic hierarchy process. Int J Serv Sci, 2008, 1: 83–98

    MathSciNet  Google Scholar 

  16. Sebastiani R, Giorgini P, Mylopoulos J. Simple and minimum-cost satisfiability for goal models. In: Adv Inf Syst Eng, Riga, 2004. 20–35

    Chapter  Google Scholar 

  17. Liaskos S, McIlraith S A, Sohrabi S, et al. Representing and reasoning about preferences in requirements engineering. Requir Eng, 2011, 16: 227–249

    Article  Google Scholar 

  18. Ma W, Liu L, Xie H, et al. Preference model driven services selection. In: Conference on Advanced Information Systems Engineering, Amsterdam, 2009. 216–230

    Chapter  Google Scholar 

  19. Bennett K H, Rajlich V. Software maintenance and evolution: a roadmap. In: International Conference on Software Engineering, Limerick, 2000. 73–87

    Google Scholar 

  20. Buckley J. Requirements-based visualization tools for software maintenance and evolution. IEEE Comput, 2009, 42: 106–108

    Article  Google Scholar 

  21. Chapin N, Hale J, Fernandez-Ramil J, et al. Types of software evolution and software maintenance. J Softw Maint Evol-Res Pract, 2001, 13: 3–30

    Article  MATH  Google Scholar 

  22. Godfrey M, Tu Q. Growth, evolution, and structural change in open source software. In: Proceedings of the 4th International Workshop on Principles of Software Evolution, New York, 2001. 103–106

    Google Scholar 

  23. Gala-Pérez S, Robles G, González-Barahona J M, et al. Intensive metrics for the study of the evolution of open source projects: case studies from apache software foundation projects. In: the 10th Working Conference on Mining Software Repositories, San Francisco, 2013. 159–168

    Google Scholar 

  24. Lehman M, Ramil J F. Software evolution-background, theory, practice. Inf Process Lett, 2003, 88: 33–44

    Article  MATH  Google Scholar 

  25. Ali S, Maqbool O. Monitoring software evolution using multiple types of changes. In: the 5th International Conference on Emerging Technologies, Islamabad, 2009. 410–415

    Google Scholar 

  26. Wang Y, Guo D, Shi H. Measuring the evolution of open source software systems with their communities. ACM SIGSOFT Softw Eng Notes, 2007, 32: 7

    Article  Google Scholar 

  27. Le Goaer O, Tamzalit D, Oussalah M. Evolution styles to capitalize evolution expertise within software architectures. In: the 22nd International Conference on Software Engineering and Knowledge Engineering, Redwood City, 2010. 159–164

    Google Scholar 

  28. Alawairdhi M, Yang H. A business-logic based framework for evolving software systems. In: the 33rd Annual IEEE International Computer Software and Applications Conference, Seattle, 2009. 300–305

    Google Scholar 

  29. Kim T, Kim K, Kim W. An interactive change impact analysis based on an architectural reflexion model approach. In: the 34th Annual IEEE International Computer Software and Applications Conference, Seoul, 2010. 297–302

    Google Scholar 

  30. Desai N, Chopra A K, Singh M P. Amoeba: a methodology for modeling and evolving cross-organizational business processes. ACM Trans Softw Eng Methodol, 2009, 19: 1–40

    Article  Google Scholar 

  31. Salifu M, Yu Y, Nuseibeh B. Specifying monitoring and switching problems in context. In: the 15th International Requirements Engineering ConferenceRE, New Delhi, 2007. 211–220

    Chapter  Google Scholar 

  32. Baresi L, Marconi A, Pistore M, et al. Corrective evolution of adaptable process models. In: Nurcan S, Proper H A, Soffer P, et al., eds. Enterprise, Business-Process and Information Systems Modeling. Berlin/Heidelberg: Springer-Verlag, 2013. 214–229

    Chapter  Google Scholar 

  33. Miorandi D, Yamamoto L, Dini P. Service evolution in bio-inspired communication systems. Int Trans Syst Sci Appl, 2006, 2: 51–60

    Google Scholar 

  34. Nakano T, Suda T. Self-organizing network services with evolutionary adaptation. IEEE Trans Neural Netw, 2005, 16: 1269–1278

    Article  Google Scholar 

  35. Andrikopoulos V, Benbernou S, Papazoglou M P. On the evolution of services. IEEE Trans Softw Eng, 2012, 38: 609–628

    Article  Google Scholar 

  36. Treiber M, Truong H L, Dustdar S. On analyzing evolutionary changes of web services. In: Service-Oriented Computing, Stockholm, 2009. 284–297

    Google Scholar 

  37. Ponnekanti S, Fox A. Interoperability among independently evolving web services. In: Middleware, Toronto, 2004. 331–351

    Google Scholar 

  38. Kaminski P, Litoiu M, Müller H. A design technique for evolving web services. In: Proceedings of the 2006 Conference of the Center for Advanced Studies on Collaborative Research, Riverton, 2006. 23

    Chapter  Google Scholar 

  39. Frank D, Lam L, Fong L, et al. Using an interface proxy to host versioned web services. In: IEEE International Conference on Services Computing, Honolulu, 2008. 325–332

    Google Scholar 

  40. Andrikopoulos V. A theory and model for the evolution of software services. Open Access publications from Tilburg University, Tilburg University, 2010

    Google Scholar 

  41. Andrikopoulos V, Benbernou S, Papazoglou M P. Managing the evolution of service specifications. In: the 20th International Conference on Advanced Information Systems Engineering, Montpellier, 2008. 359–374

    Chapter  Google Scholar 

  42. Kongdenfha W, Nezhad H R, Benatallah B, et al. Mismatch patterns and adaptation aspects: a foundation for rapid development of web service adapters. IEEE Trans Serv Comput, 2009, 2: 94–107

    Article  Google Scholar 

  43. Benhaddi M, Baïna K, Abdelwahed E. A user-centric mashuped SOA. Int J Web Sci, 2012, 1: 204–223

    Article  Google Scholar 

  44. Leitner P, Michlmayr A, Rosenberg F, et al. End-to-end versioning support for web services. In: IEEE International Conference on Services Computing, Honolulu, 2008. 59–66

    Google Scholar 

  45. Weinreich R, Ziebermayr T, Draheim D. A versioning model for enterprise services. In: the 21st International Conference on Advanced Information Networking and Applications Workshops. Washington DC: IEEE, 2007. 570–575

    Google Scholar 

  46. Fang R, Lam L, Fong L, et al. A version-aware approach for web service directory. In: IEEE International Conference on Web Services, Salt Lake City, 2007. 406–413

    Chapter  Google Scholar 

  47. Zou Z, Fang R, Liu L, et al. On synchronizing with web service evolution. In: International Conference on Web Services, Beijing, 2008. 329–336

    Google Scholar 

  48. Ouederni M, Salaün G, Pimentel E. Client update: a solution for service evolution. In: IEEE International Conference on Services Computing, Washington DC, 2011. 394–401

    Google Scholar 

  49. Dumas M, Spork M, Wang K. Adapt or perish: algebra and visual notation for service interface adaptation. In: the 4th International Conference Business Process Management, Vienna, 2006. 65–80

    Google Scholar 

  50. Ryu S H, Casati F, Skogsrud H, et al. Supporting the dynamic evolution of web service protocols in service-oriented architectures. ACM Trans Web, 2008, 2: 1–46

    Article  Google Scholar 

  51. Pathak J, Basu S, Honavar V. On context-specific substitutability of web services. In: International Conference on Web Services, Salt Lake City, 2007. 192–199

    Google Scholar 

  52. Rinderle-Ma S, Reichert M, Jurisch M. On utilizing web service equivalence for supporting the composition life cycle. Int J Web Serv Res, 2011, 8: 41–67

    Article  Google Scholar 

  53. Rinderle-Ma S, Reichert M, Jurisch M. Equivalence of web services in process-aware service compositions. In: International Conference on Web Services, Los Angeles, 2009. 501–508

    Google Scholar 

  54. Rinderle S, Weber B, Reichert M, et al. Integrating process learning and process evolution-a semantics based approach. In: the 3rd International Conference on Business Process Management, Nancy, 2005. 252–267

    Google Scholar 

  55. Becker K, Lopes A, Milojicic D S, et al. Automatically determining compatibility of evolving services. In: International Conference on Web Services, Beijing, 2008. 161–168

    Google Scholar 

  56. Ye C, Cheung S C, Chan W K, et al. Atomicity analysis of service composition across organizations. IEEE Trans Softw Eng, 2009, 35: 2–28

    Article  Google Scholar 

  57. Ye C, Cheung S C, Chan W K, et al. Detection and resolution of atomicity violation in service composition. In: the 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, Dubrovnik, 2007. 235–244

    Google Scholar 

  58. Wilde E. Semantically extensible schemas for web service evolution. In: European Conference on Web Services, Erfurt, 2004. 30–45

    Google Scholar 

  59. Wang S, Capretz M A. A dependency impact analysis model for web services evolution. In: International Conference on Web Services, Los Angeles, 2009. 359–365

    Google Scholar 

  60. Chang C K, Jiang H, Ming H, et al. Situ: a situation-theoretic approach to context-aware service evolution. IEEE Trans Serv Comput, 2009, 2: 261–275

    Article  Google Scholar 

  61. Ming H, Chang C K, Oyama K, et al. Reasoning about human intention change for individualized runtime software service evolution. In: Proceedings of the IEEE 34th Annual Computer Software and Applications Conference, Washington DC, 2010. 289–296

    Google Scholar 

  62. Ardagna D, Baresi L, Comai S, et al. A service-based framework for flexible business processes. IEEE Softw, 2011, 28: 61–67

    Article  Google Scholar 

  63. Chafle G, Das G, Dasgupta K, et al. An integrated development environment for web service composition. In: International Conference on Web Services, Salt Lake City, 2007. 839–847

    Google Scholar 

  64. Colombo M, Nitto E, Mauri M. Scene: a service composition execution environment supporting dynamic changes disciplined through rules. In: the 4th International Conference on Service-Oriented Computing, Chicago, 2006. 191–202

    Google Scholar 

  65. Bunch C, Chohan N, Krintz C, et al. An evaluation of distributed data stores using the AppScale cloud platform. In: the 3rd IEEE International Conference on Cloud Computing, Miami, 2010. 305–312

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Software, Tsinghua University, Beijing, 100084, China

    Lin Liu, Chen Yang, JianMin Wang, XiaoJun Ye & YingBo Liu

  2. Creative Computing Cluster, Bath Spa University, Bath, BA2 9BN, UK

    HongJi Yang

  3. School of Computing, Edinburgh Napier University, Edinburgh, EH10 5DT, UK

    XiaoDong Liu

Authors
  1. Lin Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chen Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. JianMin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. XiaoJun Ye
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. YingBo Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. HongJi Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. XiaoDong Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lin Liu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, L., Yang, C., Wang, J. et al. Requirements model driven adaption and evolution of Internetware. Sci. China Inf. Sci. 57, 1–19 (2014). https://doi.org/10.1007/s11432-014-5064-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-014-5064-1

Keywords

Search

Navigation