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Understanding Feature Interactions in Web Services: Challenges and Solutions

This paper by Michael Weiss from Carleton University explores feature interactions within web services, emphasizing both functional and non-functional aspects. It discusses the complexities of service composition, the impact of non-functional requirements like usability and security, and the challenges presented by the dynamic nature of web services. Key themes include explicit and implicit service composition, integration difficulties, and the necessity for a robust framework such as Goal-Oriented Requirements Language (GRL) to manage these interactions effectively. Insights into personalized services illustrate the importance of addressing privacy and quality concerns.

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Understanding Feature Interactions in Web Services: Challenges and Solutions

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  1. Feature Interactions in Web Services Michael Weiss Carleton University Michael Weiss, FIW 03

  2. Web Services • Web services are a way of packaging and publishing functionality to the network for use by other applications • Web services can aggregate other web services from a web of services to provide a higher-level set of features Michael Weiss, FIW 03

  3. Web Services • Paradigm for constructing distributed applications • Lack of centralized control (# businesses) • Diversity of technology platforms • Rapid evolution of business environment • Much work to date on low level concerns • Publishing, discovering, and invoking of services • Service integration raise significant challenges • Little research on managing interactions Michael Weiss, FIW 03

  4. Composition of Web Services • Explicit composition • Flow • Implicit composition • Parallelism • Side effect uses side effect Michael Weiss, FIW 03

  5. Feature Interaction Problem • Coordination of features so that their composition achieves the desired result at application level • We use "feature" and "service" interchangably here • Root causes (from telephony) • Conflicting goals • Competition for resources • Changing assumptions • Design evolution • … ? (web services) Michael Weiss, FIW 03

  6. Functional and Non-Functional • Most interactions studied of functional nature • eg between (the functions of) CW and CFB • However, each functional composition impacts the satisfaction of non-functional requirements • Mostly neglected by current research! • It makes sense to talk of non-functional features • Usability, privacy, availability, security, … • Feature interactions in web services not really studied (some work on SoC, AOP, …) Michael Weiss, FIW 03

  7. Non-Functional Features Michael Weiss, FIW 03

  8. Example: Personalized Services • m-Commerce • Personalization through information filtering • Based on user identity, profile, and the user's location • Many design issues • Dynamic assembly • Trust (service quality, bias, …) • Privacy concerns • Security • Semantic ambiguity • … Michael Weiss, FIW 03

  9. FunctionalComposition Notation: Goal- Oriented Requirements Language (GRL) Michael Weiss, FIW 03

  10. implemented as Michael Weiss, FIW 03

  11. Non-FunctionalComposition Undesirable Feature Interaction Michael Weiss, FIW 03

  12. Resolving the Feature Interaction Refactoring Michael Weiss, FIW 03

  13. Analysis • Current identity services such as Passport blur the line between authentication and authorization • Identifying the user (authentication) • Giving site access to user profile (authorization) • Once user authenticates to Passport-enabled site all information is shared with the site • Potential solution is to restrict identity service to authentication, and control access to profile within user agent (eg following the P3P proposal) Michael Weiss, FIW 03

  14. Example: Restaurant Finder • Dynamic assembly of information services based on the user's profile & current location Michael Weiss, FIW 03

  15. Michael Weiss, FIW 03

  16. implemented as Michael Weiss, FIW 03

  17. Michael Weiss, FIW 03

  18. Refactoring Resolving the Feature Interaction Michael Weiss, FIW 03

  19. Analysis • Dynamic assembly of heterogeneous information services of unknown quality • Issue of quality of the recommendations (eg coverage of restaurants), and bias (eg if only the restaurants that have paid a fee are listed) • Potential solution: use trusted portal that makes the selection of localized services transparent, and polices the quality of the recommendations Michael Weiss, FIW 03

  20. Conclusion • Feature interaction in web services • Functional and non-functional • Our research on non-functional interactions • Use of GRL framework • Goal is to develop a benchmark for FIWS • Set of interactions between web services • Patterns for service composition • Represent NFRs as patterns Michael Weiss, FIW 03

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