Information Discovery Heuristics: Reverse Engineering Part One

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Heuristics for type error discovery and recovery Jurriaan Hage and Bastiaan Heeren Department of Information and Computing Sciences, Universiteit Utrecht

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1. Introduction Type inference algorithms for Hindley-Milner type systems typically proceed in a syntax-directed way. The main disadvantage of such a rigid and local.

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Guided Type Debugging | SpringerLink – Hage, J., Heeren, B.: Heuristics for type error discovery and recovery. In: Horváth, Z., Zsók, V., Butterfield, A. (eds.) IFL 2006. LNCS, vol. 4449, pp. 199–216. Springer, Heidelberg (2007)CrossRefGoogle Scholar. 12. Heeren, B.J.: Top Quality Type Error Messages. PhD thesis, Universiteit Utrecht, The Netherlands ( September.

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Heuristics for type error discovery and recovery. J Hage, B Heeren. Symposium on Implementation and Application of Functional Languages, 199-216, 2006. 45, 2006. Generalizing Hindley-Milner type inference algorithms. BJ Heeren, J Hage, SD Swierstra. Utrecht University: Information and Computing Sciences, 2002.

Heuristics for Type Error Discovery and Recovery Jurriaan Hage and Bastiaan Heeren Department of Information and Computing Sciences, Universiteit Utrecht

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Heuristics for type error discovery and recovery (revised). Jurriaan Hage. Bastiaan Heeren institute of information and computing sciences, utrecht university technical report UU-CS-2006-007

Heuristics for type error discovery and recovery. number of statistics from actual use of the compiler showing us the frequency with which heuristics are used,

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Heuristics for type error discovery and recovery. Jurriaan Hage and Bastiaan Heeren. Department of Information and Computing Sciences, Universiteit Utrecht. P.O.Box 80.089, 3508 TB Utrecht, The Netherlands. {jur, bastiaan} Abstract. Type error messages that are reported for incorrect functional pro- grams can.

other error indicators). The traceroute tool uses this primitive. to infer the path to a given. The map discovery heuristics must not impose significan-. t probing overhead on the network. Informally, the heuristics must not. of the Internet topology. It also allowed us to recover from bug-. gy implementations of heuristics. IV.

One important heuristic technique we use at Gilt is trial and error. If we can isolate the trial. have to make decisions about how often we recommend a new product, or type of product, to a user. People decide where to put the code.

1 Introduction Over the last few years we have developed the Top framework for constraint-based type inferen-cing [2], and applied it to the development of a compiler.

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