Skip to main content

KASE: An Integrated Environment for Software Design

  • Chapter

Abstract

Software design consists of determining a high-level organization of a system that meets a given problem specification. We present a prototype system called KASE (Knowledge Assisted Software Engineering) that helps system analysts and designers design and redesign software systems. The KASE environment provides knowledge representation and reasoning tools to integrate knowledge about general software design principles, prototypical software architectures, and application domain. Unlike CASE tools and module interconnection languages that represent the structure of a software system without its semantics, the goal of KASE is to integrate both the structure and the semantics of software modules and to provide active assistance in the design of systems. We illustrate the design process in KASE through an example, focusing on the ability of KASE to provide a co-operative man-machine design environment.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Adelson, B. and Soloway, E.: 1985, The role of domain experience in software design, IEEE Transaction on Software Engineering, SE-11(11), 1351–1360.

    Google Scholar 

  • Bhansali, S.: 1992, Generic software architecture based redesign, AAAI Spring Symposium on Computational Considerations in Supporting Incremental Modification and Reuse, Stanford, CA.

    Google Scholar 

  • Bhansali, S. and Harandi, M. T.: 1991, Synthesizing UNIX shell scripts using derivational analogy: an empirical assessment, Ninth National Conference on Artificial Intelligence, Anaheim, CA, AAAI Press/MIT Press, pp. 521–526.

    Google Scholar 

  • Brooks, F. P., Jr.: 1987, No silver bullet: essence and accidents of software engineering. IEEE Computer, April

    Google Scholar 

  • Brown, D. C. and Chandrasekaran, B.: 1989, Design Problem Solving: Knowledge Structures and Control Strategies, Morgan Kaufmann, San Mateo, CA:.

    Google Scholar 

  • Brown, H. D., Schön, E. and Delagi, B. A.: 1986, An experiment in knowledge-based signal understanding using parallel architectures, Technical Report STAN-CS-86-1136, Department of Computer Science, Stanford University.

    Google Scholar 

  • Chandrasekaran, B.: 1986, Generic tasks in knowledge-based reasoning: high-level building blocks for expert system design, IEEE Expert, 1 (3), 23–30.

    Article  Google Scholar 

  • Conklin, J. and Begeman, M.: 1989, gIBIS: A tool for all reasons, Journal of the American Society for Information Science, 40, 200–213.

    Google Scholar 

  • Devanbu, P., Brachman, R. J., Selfridge, P. G. and Ballard, B. W.: 1991, LaSSIE: A knowledge-based software information system, Communications of the ACM, 34 (5), 34–49.

    Article  Google Scholar 

  • Graves, H.: 1991, Lockheed environment for automatic programming, 6th Annual Knowledge-Based Software Engineering Conference, Syracuse, NY, pp. 78–89.

    Google Scholar 

  • Guindon, R.: 1990, Knowledge exploited by experts during software system design. International Journal of Man-Machine Studies, 33 (3), 279–304.

    Article  Google Scholar 

  • Guindon, R.: 1992, Requirements and design of DesignVision, an object-oriented graphical interface to an intelligent software design assistant, ACM Proceedings of CHI′92, Monterrey, CA.

    Google Scholar 

  • Guindon, R., Krasner, H., and Curtis, B. (eds): 1987, Breakdowns and Processes During The Early Activities Of Software Design By Professionals, Ablex.

    Google Scholar 

  • Jeffries, R., Turner, A., Poison, P., and Atwood, M. E. (eds): 1981, The Processes involved in designing software, Lawrence Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Johnson, W. L. and Feather, M. S.: 1991, Using evolution transformations to construct specifications, in M. Lowry and R. McCartney (eds), Automating Software Design. AAAI Press, Cambridge, MA.

    Google Scholar 

  • Lubars, M. D. and Harandi, M. T.: 1989, Addressing software reuse through knowledge-based design, in T. J. Biggerstaff and A. J. Perlis (eds), Software Reusability, ACM Press, New York, NY.

    Google Scholar 

  • Martin, J. and McClure, C.: 1988, Structured Techniques: The Basis for CASE, Prentice Hall, NJ.

    Google Scholar 

  • Neighbors, J.: 1984, The DRACO approach to constructing software from reusable components, IEEE Transactions on Software Engineering, 10 (9), 564–573.

    Article  Google Scholar 

  • Nii, H. P., Aiello, N., Bhansali, S., Guindon, R., and Peyton, L.: 1991, Knowledge Assisted Software Engineering (KASE): An introduction and status June 1991, Technical Report KSL-91-28, Knowledge Systems Laboratory, Computer Science Department, Stanford University.

    Google Scholar 

  • Nii, H. P., Feigenbaum, E. A., Anton, J. J. and Rockmore, A. J.: 1982, Signal-to-symbol transformation: HASP/SIAP Case Study, AI Magazine, Spring, 23–36.

    Google Scholar 

  • Nii, P.: 1989, Black Board systems, in A. Barr, P. Cohen, and E. Feigenbaum (eds), Handbook of Artificial Intelligence, Addison-Wesley, New York, NY.

    Google Scholar 

  • Parnas, D. L. and Clements, P. C.: 1986, A rational design process: How and why to fake it, IEEE Transactions on Software Engineering, 12, 251–257.

    Article  Google Scholar 

  • Rumbaugh, J., Blaha, M., Premerlani, W., Eddy, F. and Lorensen, W.: 1991, Object-Oriented Modeling and Design, Prentice Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Swartout, W. and Balzer, R.: 1982, On the inevitable intertwining of specification and implementation, Communications of the ACM, 25 (7), 438–440.

    Article  Google Scholar 

  • Waters, R. C.: 1985, The Programmer’s Apprentice: a session with KBEmacs, IEEE Transactions on Software Engineering, 11 (11), 1296–1320.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Bhansali, S., Nii, H.P. (1992). KASE: An Integrated Environment for Software Design. In: Gero, J.S., Sudweeks, F. (eds) Artificial Intelligence in Design ’92. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2787-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-2787-5_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5238-2

  • Online ISBN: 978-94-011-2787-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics