NDLI: Abstraction-based relation mining for functional test generation

Content Provider	IEEE Xplore Digital Library
Author	Gent, K. Hsiao, M.S.
Copyright Year	2015
Description	Author affiliation: Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA (Gent, K.; Hsiao, M.S.)
Abstract	Functional test generation and design validation frequently use stochastic methods for vector generation. However, for circuits with narrow paths or random-resistant corner cases, purely random techniques can fail to produce adequate results. Deterministic techniques can aid this process; however, they add significant computational complexity. This paper presents a Register Transfer Level (RTL) abstraction technique to derive relationships between inputs and path activations. The abstractions are built off of various program slices. Using such a variety of abstracted RTL models, we attempt to find patterns in the reduced state and input with their resulting branch activations. These relationships are then applied to guide stimuli generation in the concrete model. Experimental results show that this method allows for fast convergence on hard-to-reach states and achieves a performance increase of up to 9× together with a reduction of test lengths compared to previous hybrid search techniques.
Starting Page	1
Ending Page	6
File Size	978544
Page Count	6
File Format	PDF
ISBN	9781479975976
DOI	10.1109/VTS.2015.7116286
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Benchmark testing IEEE Computer Society Engines Optimization Pipelines Instruments Databases
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in