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Many areas of computer science are concerned with some form of variation in software---from managing changes to software over time to supporting families of related artifacts. We present the choice calculus, a fundamental representation for software variation that can serve as a common language of discourse for variation research, filling a role similar to(More)
Through the use of conditional compilation and related tools, many software projects can be used to generate a huge number of related programs. The problem of typing such variational software is difficult. The brute-force strategy of generating all variants and typing each one individually is: (1) usually infeasible for efficiency reasons and (2) produces(More)
Conditional compilation and software product line technologies make it possible to generate a huge number of different programs from a single software project. Typing each of these programs individually is usually impossible due to the sheer number of possible variants. Our previous work has addressed this problem with a type system for variational lambda(More)
—Maintaining variation in software is a difficult problem that poses serious challenges for the understanding and editing of software artifacts. Although the C preprocessor (CPP) is often the default tool used to introduce variability to software, because of its simplicity and flexibility, it is infamous for its obtrusive syntax and has been blamed for(More)
We present a visual language for strategies in game theory , which has potential applications in economics, social sciences, and in general science education. This language facilitates explanations of strategies by visually representing the interaction of players' strategies with game execution. We have utilized the cognitive dimensions framework in the(More)
Variation is everywhere, and in the construction and analysis of customizable software it is paramount. In this context, there arises a need for <i>variational data structures</i> for efficiently representing and computing with related variants of an underlying data type. So far, variational data structures have been explored and developed ad hoc. This(More)