Zohreh Sharafi

Zohreh Sharafi
University of Michigan | U-M · Computer Software Engineering

PhD in Computer Engineering

About

17
Publications
11,059
Reads
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351
Citations
Additional affiliations
February 2022 - present
Polytechnique Montréal
Position
  • Assistnat Professor
Education
September 2010 - March 2015
Polytechnique Montréal
Field of study
  • Computer Engineering
September 2008 - September 2010
Concordia University Montreal
Field of study
  • Software Engineering
September 2004 - June 2007
University of Tehran
Field of study
  • Computer Engineering

Publications

Publications (17)
Article
Full-text available
Understanding how developers carry out different computer science activities with objective measures can help to improve productivity and guide the use and development of supporting tools in software engineering. In this article, we present two controlled experiments involving 112 students to explore multiple computing activities (code comprehensio...
Article
What code navigation strategies do developers use and what mechanisms do they employ to find relevant information Do their strategies evolve over the course of longer tasks Answers to these questions can provide insight to educators and software tool designers to support a wide variety of programmers as they tackle increasingly-complex software sys...
Article
Full-text available
For several years, the software engineering research community used eye trackers to study program comprehension, bug localization, pair programming, and other software engineering tasks. Eye trackers provide researchers with insights on software engineers’ cognitive processes, data that can augment those acquired through other means, such as on-lin...
Conference Paper
Full-text available
Eye-tracking studies are getting more prevalent in software engineering. Researchers often use different metrics when publishing their results in eye-tracking studies. Even when the same metrics are used, they are given different names, causing difficulties in comparing studies. To encourage replications and facilitate advancing the state of the ar...
Article
Full-text available
Requirements Traceability (RT) links help developers during program comprehension and maintenance tasks. However, creating RT links is a laborious and resource-consuming task. Information Retrieval (IR) techniques are useful to automatically create traceability links. However, IR-based techniques typically have low accuracy (precision, recall, or b...
Article
Full-text available
Program comprehension is an essential part of any maintenance activity. It allows developers to build mental models of the program before undertaking any change. It has been studied by the research community for many years with the aim to devise models and tools to understand and ease this activity. Recently, researchers have introduced the use of...
Conference Paper
Full-text available
Requirements traceability (RT) links help developers to understand programs and ensure that their source code is consistent with its documentation. Creating RT links is a laborious and resource-consuming task. Information Retrieval (IR) techniques are useful to automatically recover traceability links. However, IR-based approaches typically have lo...
Conference Paper
Full-text available
The visualization of software systems allows a software developer to build a mental model of the program supporting her to better understand its design and functionality. This research aims at studying current visualization techniques and practices to propose a set of principles for designing effective software architecture visualization techniques...
Conference Paper
Full-text available
Aspect-orientation is a term used to describe approaches that explicitly capture, model and implement crosscutting concerns (or aspects). There is currently a number of new programming languages as well as extensions to current programming languages, the design dimensions of most of which have been influenced by the AspectJ language through three c...
Conference Paper
Full-text available
In this paper, we propose a model-based image registration method capable of detecting the true transformation model between two images. We incorporate a statistical model selection criterion to choose the true underlying transformation model. Therefore, the proposed algorithm is robust to degeneracy as any degeneracy is detected by the model selec...

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