21 citations · 33 across the 6 of their papers we have counts for
8 papers
Predicting User Experience on Laptops from Hardware Specifications
Saswat Padhi, Sunil K. Bhasin, Udaya K. Ammu +2
Estimating the overall user experience (UX) on a device is a common challenge faced by manufacturers. Today, device makers primarily rely on microbenchmark scores, such as Geekbenc…
The SyGuS Language Standard Version 2.1
Saswat Padhi, Elizabeth Polgreen, Mukund Raghothaman +2
The classical formulation of the program-synthesis problem is to find a program that meets a correctness specification given as a logical formula. Syntax-guided synthesis (SyGuS) i…
Data-Driven Inference of Representation Invariants
Anders Miltner, Saswat Padhi, Todd Millstein +1
A representation invariant is a property that holds of all values of abstract type produced by a module. Representation invariants play important roles in software engineering and…
On Scaling Data-Driven Loop Invariant Inference
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan +2
Automated synthesis of inductive invariants is an important problem in software verification. Once all the invariants have been specified, software verification reduces to checking…
Overfitting in Synthesis: Theory and Practice (Extended Version)
Saswat Padhi, Todd Millstein, Aditya Nori +1
In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatically generate a program belonging to a grammar of possible implementations that meets a logical specificatio…
SyGuS-Comp 2018: Results and Analysis
Rajeev Alur, Dana Fisman, Saswat Padhi +2
Syntax-guided synthesis (SyGuS) is the computational problem of finding an implementation that meets both a semantic constraint given by a logical formula in a background t…
FlashProfile: A Framework for Synthesizing Data Profiles
Saswat Padhi, Prateek Jain, Daniel Perelman +3
We address the problem of learning a syntactic profile for a collection of strings, i.e. a set of regex-like patterns that succinctly describe the syntactic variations in the strin…
LoopInvGen: A Loop Invariant Generator based on Precondition Inference
Saswat Padhi, Rahul Sharma, Todd Millstein
We describe the LoopInvGen tool for generating loop invariants that can provably guarantee correctness of a program with respect to a given specification. LoopInvGen is an efficien…