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MSR 2019
Sun 26 - Mon 27 May 2019 Montreal, QC, Canada
co-located with ICSE 2019

One recent, significant advance in modeling source code for machine learning algorithms has been the introduction of path-based representation – an approach consisting in representing a snippet of code as a collection of paths from its syntax tree. Such representation efficiently captures the structure of code, which, in turn, carries its semantics and other information. Building the path-based representation involves parsing the code and extracting the paths from its syntax tree; these steps build up to a substantial technical job. With no common reusable toolkit existing for this task, the burden of mining diverts the focus of researchers from the essential work and hinders newcomers in the field of machine learning on code.

In this paper, we present PathMiner – an open-source library for mining path-based representations of code. Path- Miner is fast, flexible, well-tested, and easily extensible to support input code in any common programming language.

Sun 26 May
Times are displayed in time zone: Eastern Time (US & Canada) change

11:00 - 11:45: Session I: Representations for Mining (Part 1)MSR 2019 Paper Presentations / MSR 2019 Technical Papers / MSR 2019 Data Showcase at Place du Canada
Chair(s): Chanchal K. RoyUniversity of Saskatchewan
11:00 - 11:15
Full-paper
MSR 2019 Technical Papers
Pre-print Media Attached
11:16 - 11:22
Short-paper
MSR 2019 Technical Papers
Vladimir KovalenkoTU Delft, Egor BogomolovHigher School of Economics, JetBrains Research, Timofey Bryksin, Alberto BacchelliUniversity of Zurich
DOI Pre-print Media Attached
11:23 - 11:38
Full-paper
MSR 2019 Technical Papers
Bart TheetenNokia Bell Labs, Belgium, Frederik Vandeputte, Tom Van CutsemNokia Bell Labs
Pre-print
11:39 - 11:45
Talk
MSR 2019 Data Showcase
Vasiliki EfstathiouAthens University of Economics and Business, Diomidis SpinellisAthens University of Economics and Business
Pre-print