Mining Semantic Loop Idioms
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| Title: | Mining Semantic Loop Idioms |
|---|---|
| Authors: | Allamanis, M, Barr, ET, Bird, C, Devanbu, P, Marron, M, Sutton, C |
| Source: | IEEE Transactions on Software Engineering , 44 (7) pp. 651-668. (2018) |
| Publisher Information: | IEEE COMPUTER SOC |
| Publication Year: | 2018 |
| Collection: | University College London: UCL Discovery |
| Subject Terms: | Semantics, Tools, Syntactics, Data mining, C# languages, Machine learning, Testing, Data-driven tool design, idiom mining, code patterns |
| Description: | To write code, developers stitch together patterns, like API protocols or data structure traversals. Discovering these patterns can identify inconsistencies in code or opportunities to replace these patterns with an API or a language construct. We present coiling, a technique for automatically mining code for semantic idioms: surprisingly probable, semantic patterns. We specialize coiling for loop idioms, semantic idioms of loops. First, we show that automatically identifiable patterns exist, in great numbers, with a largescale empirical study of loops over 25MLOC. We find that most loops in this corpus are simple and predictable: 90 percent have fewer than 15LOC and 90 percent have no nesting and very simple control. Encouraged by this result, we then mine loop idioms over a second, buildable corpus. Over this corpus, we show that only 50 loop idioms cover 50 percent of the concrete loops. Our framework opens the door to data-driven tool and language design, discovering opportunities to introduce new API calls and language constructs. Loop idioms show that LINQ would benefit from an Enumerate operator. This can be confirmed by the exitence of a StackOverflow question with 542k views that requests precisely this feature. |
| Document Type: | article in journal/newspaper |
| File Description: | text |
| Language: | English |
| Relation: | https://discovery.ucl.ac.uk/id/eprint/10062734/1/Barr_coils.pdf; https://discovery.ucl.ac.uk/id/eprint/10062734/ |
| Availability: | https://discovery.ucl.ac.uk/id/eprint/10062734/1/Barr_coils.pdf https://discovery.ucl.ac.uk/id/eprint/10062734/ |
| Rights: | open |
| Accession Number: | edsbas.529B0BDF |
| Database: | BASE |
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