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Alisa J. Maas

dblp:169/8863 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 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
Programming languages and type systems · 100%

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

TopicWeightPapersLastEvidence papers
Programming languages and type systems › interoperability
language interoperability
0.212016
Array length inference for C library bindings · ASE 2016
Programming languages and type systems
type inference
0.212016
Array length inference for C library bindings · ASE 2016

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

static analysis · 0.2annotation inference · 0.2
YearPublicationVenuePosition
2016 Array length inference for C library bindings
abstract
Simultaneous use of multiple programming languages (polyglot programming) assists in creating efficient, coherent, modern programs in the face of legacy code. However, manually creating bindings to low-level languages like C is tedious and error-prone. We offer relief in the form of an automated suite of analyses, designed to enhance the quality of automatically produced bindings. These analyses recover high-level array length information that is missing from C’s type system. We emit annotations in the style of GObject-Introspection, which produces bindings from annotations on function signatures. We annotate each array argument as terminated by a special sentinel value, fixed-length, or of length determined by another argument. These properties help produce more idiomatic, efficient bindings. We correctly annotate at least 70% of all arrays with these length types, and our results are comparable to those produced by human annotators, but take far less time to produce.
Alisa J. Maas, Henrique Nazaré, Ben Liblit
ASE1