NDLI: Knowledge-Guided Methodology for Third-Party Soft IP Analysis

Content Provider	IEEE Xplore Digital Library
Author	Singh, B. Shankar, A. Wolff, F. Weyer, D. Papachristou, C. Negi, B.
Copyright Year	2014
Description	Author affiliation: Case Western Reserve Univ., Cleveland, OH, USA (Singh, B.; Shankar, A.; Wolff, F.; Weyer, D.; Papachristou, C.) \|\| Marvell Semicond., USA (Negi, B.)
Abstract	In System-on-Chip designs, third party IP reuse is prevalent as it increases productivity and reduces time-to-market. These IPs can be classified as untrusted designs since the user has no insight into IP verification or quality control process. In practice, it is generally assumed that the IP has been functionally validated by developers and thorough verification at user end is not performed. In the current state-of-the-art, lint tools are primarily used to determine IP design quality. These tools pinpoint design issues by performing static analysis of RTL code but have a limitation that they do not perform behavioral analysis. In this paper, we present a knowledge-guided methodology, which identifies RTL behavior by finding correspondences with a knowledge base of previously analysed trusted designs. In comparison to existing techniques, our approach uses combination of static and dynamic analysis techniques to better approximate design behavior. We tested our methodology by analysing several IEEE-754 floating point soft IPs. We define identification coverage and confidence factor metric to quantify our IP analysis results.
Sponsorship	IEEE Comput. Soc.
Starting Page	246
Ending Page	251
File Size	383173
Page Count	6
File Format	PDF
ISBN	9781479925131
ISSN	10639667
DOI	10.1109/VLSID.2014.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-05
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	IP networks Reactive power Measurement Ontologies Standards Process control Knowledge based systems RTL Lint RTL analysis Ontology Knowledge base Expert systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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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
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