Tue 6 Nov 2018 14:37 - 15:00 at Horizons 5 - Software Analysis I Chair(s): Sebastian Elbaum

Context-sensitivity is important in pointer analysis to ensure high precision, but existing techniques suffer from unpredictable scalability. Many variants of context-sensitivity exist, and it is difficult to choose one that leads to reasonable analysis time and obtains high precision, without running the analysis multiple times.

We present the Scaler framework that addresses this problem. Scaler efficiently estimates the amount of points-to information that would be needed to analyze each method with different variants of context-sensitivity. It then selects an appropriate variant for each method so that the total amount of points-to information is bounded, while utilizing the available space to maximize precision.

Our experimental results demonstrate that Scaler achieves predictable scalability for all the evaluated programs (e.g., speedups can reach 10x for 2-object-sensitivity), while providing a precision that matches or even exceeds that of the best alternative techniques.

Tue 6 Nov

Displayed time zone: Guadalajara, Mexico City, Monterrey change

13:30 - 15:00
Software Analysis IJournal-First / Research Papers at Horizons 5
Chair(s): Sebastian Elbaum University of Nebraska-Lincoln, USA
13:30
22m
Talk
On Accelerating Source Code Analysis At Massive Scale
Journal-First
Ganesha Upadhyaya Futurewei Technologies, Hridesh Rajan Iowa State University
DOI
13:52
22m
Talk
RefiNym: Using Names to Refine Types
Research Papers
Santanu Dash University College London, UK, Miltiadis Allamanis Microsoft Research, Cambridge, Earl T. Barr
14:15
22m
Talk
Darwinian Data Structure Selection
Research Papers
Michail Basios University College London, Lingbo Li University College London, UK, Fan Wu University College London, UK, Leslie Kanthan University College London, UK, Earl T. Barr
DOI Pre-print
14:37
22m
Talk
Scalability-First Pointer Analysis with Self-Tuning Context-Sensitivity
Research Papers
Yue Li Aarhus University, Denmark, Tian Tan Aarhus University, Denmark, Anders Møller Aarhus University, Yannis Smaragdakis University of Athens