Naouel Moha, Université du Québec à Montréal

Research

Read how they describe their research on their Université du Québec à Montréal profile.

Antipatterns and Code Smells Detection and Correction Impact Analysis Mobile Applications Recommender System Software Design and Development Software Evolution Software Quality

Latest funding

Évaluation de la qualité logicielle de Ring au niveau performance et consommation d'énergie
NSERC · 2016 · Principal investigator
$25,000
Langage de règles pour la détection d'actions malveillantes
NSERC · 2014 · Principal investigator
$25,000
Antipattern-based approach for service oriented design and quality improvement
NSERC · 2011 · Principal investigator
$125,000

All 3 grants and awards

No publications available.

Évaluation de la qualité logicielle de Ring au niveau performance et consommation d'énergie

Principal investigatorNSERC2016Engage Grants Program

Principal investigators: Moha, Naouel

$25,000

Langage de règles pour la détection d'actions malveillantes

Principal investigatorNSERC2014Engage Grants Program

Principal investigators: Moha, Naouel

$25,000

Antipattern-based approach for service oriented design and quality improvement

Principal investigatorNSERC2011Discovery Grants Program - Individual

Principal investigators: Moha, Naouel

$125,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

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Applying for

Subject: Prospective PhD student: Antipatterns and Code Smells Dear Professor Moha, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on antipatterns and code smells connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]