by Martin Robillard, McGill University (@mp_robillard)
Associate Editor: Christoph Treude (@ctreude)
cross-posted from Martin Robillard's blog
There's a lot of interest in understanding software design as an activity. But what happens to the outcome of this activity? At one extreme, what happens on the whiteboard stays on the whiteboard (design is never explicitly captured). At the other extreme, design information is meticulously captured and archived, and then invalidated by the first decent refactoring. So without explicit effort, design knowledge just disappears. The consequence is that without design information developers will have to perform ignorant surgery. The temptation for ignorant surgery has to be related to the cost of maintaining accessible design information. When a particular design is expensive to describe and maintain, its description and rationale is at risk of being lost, no matter how awesome the underlying design ideas are.
So why don't we explicitly consider how expensive a particular design decision will be to capture and maintain consistent with the code, before adopting it?
There exist quality models for software design. They include attributes like reusability, flexibility, understandability. But, as far as I can tell we don't yet have an attribute that captures how cost-effective it is to describe a set of design decisions over time. That attribute is what I would call sustainability.
There's no techno-fix to make design more sustainable. It's a complex, multi-faceted problem. In this paper I review the areas of software development research and practice that relate to design sustainability and explain why they are not silver bullets. These include:
References
Associate Editor: Christoph Treude (@ctreude)
cross-posted from Martin Robillard's blog
There's a lot of interest in understanding software design as an activity. But what happens to the outcome of this activity? At one extreme, what happens on the whiteboard stays on the whiteboard (design is never explicitly captured). At the other extreme, design information is meticulously captured and archived, and then invalidated by the first decent refactoring. So without explicit effort, design knowledge just disappears. The consequence is that without design information developers will have to perform ignorant surgery. The temptation for ignorant surgery has to be related to the cost of maintaining accessible design information. When a particular design is expensive to describe and maintain, its description and rationale is at risk of being lost, no matter how awesome the underlying design ideas are.
So why don't we explicitly consider how expensive a particular design decision will be to capture and maintain consistent with the code, before adopting it?
There exist quality models for software design. They include attributes like reusability, flexibility, understandability. But, as far as I can tell we don't yet have an attribute that captures how cost-effective it is to describe a set of design decisions over time. That attribute is what I would call sustainability.
There's no techno-fix to make design more sustainable. It's a complex, multi-faceted problem. In this paper I review the areas of software development research and practice that relate to design sustainability and explain why they are not silver bullets. These include:
- Modularity can contribute to design sustainability when design decisions map to code organization concerns. Unfortunately many design decisions don't have much to do with modular decomposition. There's also the issue that many concerns cannot easily be modularized.
- The relation between documentation and sustainable design is paradoxical. On one hand, good documentation can help sustain a design over time. On the other, documentation is expensive, which is a direct factor of unsustainability. The idea of fully self-documenting systems is appealing, but impractical. Parnas and Clements compared it to the Philosopher's Stone.
- Programming language constructs are another tool to manage sustainability. For example assert statements are a cheap and relatively user-friendly way to capture simple designs rules and assumptions. There's also research to develop language support for stating and verifying more complex design-level properties, such as immutability. The related challenge for design sustainability is that that language-supported specifiable properties form a closed set of low-level concerns, whereas the set of possible design decisions is open and ranges over different abstraction levels.
- Design patterns offer a natural map between parts of a system and a set of design rules and even their rationale. The major limitation here is that by definition, patterns are solutions to common problems, whereas there are many idiosyncratic design problems in software projects.
References
- M. P. Robillard. Sustainable Software Design. Visions and Reflections paper. In Proceedings of the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering, pages 920-923, November 2016.
- M. Petre and A. van der Hoek. 2013. Software Designers in Action: A Human-Centric Look at Design Work (1st ed.). Chapman & Hall/CRC.
- D. L. Parnas. 1994. Software aging. In Proceedings of the 16th international conference on Software engineering (ICSE '94). IEEE Computer Society Press, Los Alamitos, CA, USA, 279-287.
- J. Bansiya and C. G. Davis. A hierarchical model for object-oriented design quality assessment. In IEEE Transactions on Software Engineering, vol. 28, no. 1, pp. 4-17, Jan 2002.
- P. Tarr, H. Ossher, W. Harrison, and S. M. Sutton, Jr.. 1999. N degrees of separation: multi-dimensional separation of concerns. In Proceedings of the 21st international conference on Software engineering (ICSE '99). ACM, New York, NY, USA, 107-119.
- D. L. Parnas and P. C. Clements. 1986. A rational design process: How and why to fake it. IEEE Trans. Softw. Eng. 12, 2 (February 1986), 251-257.
- A. Birka and M. D. Ernst. 2004. A practical type system and language for reference immutability. In Proceedings of the 19th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications (OOPSLA '04). ACM, New York, NY, USA, 35-49.
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