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Yingsha Liao

dblp:48/1075 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1994
—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-authorSystems, architecture and hardware · 1

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 analysis · 50% Programming languages and type systems · 50%

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

TopicWeightPapersLastEvidence papers
Program analysis
dynamic analysis
0.011992
A Specificational Approach to High Level Program Monitoring and Measuring · IEEE Trans. Software Eng. 1992
Programming languages and type systems
specification language
0.011992
A Specificational Approach to High Level Program Monitoring and Measuring · IEEE Trans. Software Eng. 1992

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

instrumentation · 0.0code generation · 0.0
YearPublicationVenuePosition
1994 Efficiently computing derived performance data
Yingsha Liao
Autom. Softw. Eng.1
1992 A Specificational Approach to High Level Program Monitoring and Measuring
abstract
Program monitoring and measuring is the activity of collecting information about the execution characteristics of a program. Although this activity is occasionally supported by special-purpose hardware, it is normally done by adding instrumentation code to the program so that it collects interesting data as it runs. Unfortunately, this alteration is itself a difficult task involving all the complexities of programming. Given some questions to be answered, the programmer must determine what data must be collected, determine where in the program those data can be collected, and add code to the program to collect that data and to process it to produce the desired results. The goal of the work described is to automate the process. A high-level program monitoring and measuring system is presented. The system provides a high-level specification language to let programmers specify what they want to know about their program's execution. It automatically generates an augmented program whose execution produces both the results of the original program and answers to the specified questions.>
Yingsha Liao, Donald Cohen
IEEE Trans. Software Eng.1
1985 Toward a Hybrid Data-Flow/Control-Flow MIMD Architecture
David Klappholz, Yingsha Liao, Da-Jin Wang, Alexander Brodsky 0002, Amos Omondi
ICDCS2