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Do Thi Bich Ngoc

dblp:66/7640 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Program verification · 77% Program analysis · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis › data flow analysis › value analysis
floating-point analysis
0.012010
Checking roundoff errors using counterexample-guided narrowing · ASE 2010

Methods — techniques the papers use, named apart from their topics

symbolic execution · 0.1counterexample-guided narrowing · 0.1
YearPublicationVenuePosition
2010 Checking roundoff errors using counterexample-guided narrowing
abstract
This paper proposes a counterexample-guided narrowing approach, which mutually refines analyses and testing if (possibly spurious) counterexamples are found. A prototype tool CANAT for checking roundoff errors between floating point and fixed point numbers is reported with preliminary experiments.
Do Thi Bich Ngoc, Mizuhito Ogawa
ASE1
2009 Overflow and Roundoff Error Analysis via Model Checking
abstract
This paper proposes a framework for statically analyzing overflow and roundoff errors of C programs. First, a new range representation, "extended affine interval", is proposed to estimate overflow and roundoff errors. Second, the overflow and roundoff error analysis problem is encoded as a weighted model checking problem. To avoid widening, currently we focus on programs with bounded loops, which typically appear in encoder/decoder reference algorithms. Last, we implement the proposed framework as a static analysis tool CANA. Experimental results on small programs show that the extended affine interval is much more precise than classical interval.
Do Thi Bich Ngoc, Mizuhito Ogawa
SEFM1