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Kamill Gusmanov

dblp:188/5911 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—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
Software testing · 100%

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

TopicWeightPapersLastEvidence papers
Software testing › software reliability
software reliability modeling		 0.312018
On the adoption of neural networks in modeling software reliability · ESEC/SIGSOFT FSE 2018

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

truncated backpropagation · 0.3recurrent neural network · 0.3encoder-decoder architecture · 0.3LSTM · 0.3
YearPublicationVenuePosition
2018 On the adoption of neural networks in modeling software reliability
abstract
This work models the reliability of software systems using recurrent neural networks with long short-term memory (LSTM) units and truncated backpropagation algorithm, and encoder-decoder LSTM architecture and proposes LSTM with software reliability functions as activation functions and LSTM with input features as the output of software reliability functions. An initial evaluation on data coming from 4 industrial projects is also provided.
Kamill Gusmanov
 ESEC/SIGSOFT FSE1