VLDB 2026 Research / reviewers in the wild / expert

Nick Matthijssen

dblp:60/8337 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

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

Software engineering, systems software and programming languages · 3 · 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 analysis · 87% Software maintenance and evolution · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis
dynamic analysis		 0.112011
FireDetective: understanding ajax client/server interactions · ICSE 2011
Program analysis › dynamic analysis
trace analysis		 0.112011
FireDetective: understanding ajax client/server interactions · ICSE 2011
Software maintenance and evolution
program comprehension		 0.012011
FireDetective: understanding ajax client/server interactions · ICSE 2011

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

trace correlation · 0.1dynamic analysis · 0.1
YearPublicationVenuePosition
2013 Understanding Ajax applications by connecting client and server-side execution traces
abstract
Ajax-enabled Web applications are a new breed of highly interactive, highly dynamic Web applications. Although Ajax allows developers to create rich Web applications, Ajax applications can be difficult to comprehend and thus to maintain. For this reason, we have created FireDetective, a tool that uses dynamic analysis at both the client (browser) and server-side to facilitate the understanding of Ajax applications. We evaluate FireDetective using (1) a pretest-posttest user study and (2) a field user study. Preliminary evidence shows that the FireDetective tool is an effective aid for Web developers striving to understand Ajax applications.
Andy Zaidman, Nick Matthijssen, Margaret-Anne D. Storey, Arie van Deursen
 Empir. Softw. Eng.2
2011 FireDetective: understanding ajax client/server interactions
abstract
Ajax-enabled web applications are a new breed of highly interactive, highly dynamic web applications. Although Ajax allows developers to create rich web applications, Ajax applications can be difficult to comprehend and thus to maintain. FireDetective aims to facilitate the understanding of Ajax applications. It uses dynamic analysis at both the client (browser) and server side and subsequently connects both traces for further analysis.
Nick Matthijssen, Andy Zaidman
 ICSE1
2010 Connecting Traces: Understanding Client-Server Interactions in Ajax Applications
abstract
Ajax-enabled web applications are a new breed of highly interactive, highly dynamic web applications. Although Ajax allows developers to create rich web applications, Ajax applications can be difficult to comprehend and thus to maintain. For this reason, we have created FireDetective, a tool that uses dynamic analysis at both the client (browser) and server side to facilitate the understanding of Ajax applications. Using an exploratory pre-experimental user study, we see that web developers encounter problems when understanding Ajax applications. We also find preliminary evidence that the FireDetective tool allows web developers to understand Ajax applications more effectively, more efficiently and with more confidence.
Nick Matthijssen, Andy Zaidman, Margaret-Anne D. Storey, R. Ian Bull, Arie van Deursen
 ICPC1