Preetha Chatterjee Email & Phone Number
@drexel.edu
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Who is Preetha Chatterjee? Overview
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Preetha Chatterjee is listed as Assistant Professor at Drexel University | Research on mining software repositories, empirical software engineering at Drexel University, based in United States. AeroLeads shows a work email signal at drexel.edu and a matched LinkedIn profile for Preetha Chatterjee.
Preetha Chatterjee previously worked as Assistant Professor at Drexel University and Graduate Research Assistant at University Of Delaware. Preetha Chatterjee holds Doctor Of Philosophy (Ph.D.), Computer Science from University Of Delaware.
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About Preetha Chatterjee
Preetha Chatterjee is an Assistant Professor in the Department of Computer Science at Drexel University. She leads the Software Engineering and Analytics Research (SOAR) Lab at Drexel University. Her research interests are primarily in software engineering, with the goal of improving software engineers’ tools and environments through different techniques such as data mining, text analysis, and machine learning. She is especially interested in mining software repositories at a large scale and extending data analytics solutions to transform the plethora of information available in software artifacts into actionable nuggets of knowledge and tools, which is useful for both software engineers and researchers. Through her research, she intends to enable advances in areas including building/enhancing recommender systems for developers, information retrieval tasks from unstructured developer communications, and understanding human aspects in software engineering.Her research has been published in top-tier venues such as the Transactions on Software Engineering and Methodology (TOSEM), Journal of Systems and Software (JSS), and in the proceedings of the International Conference on Software Engineering (ICSE), International Conference on Automated Software Engineering (ASE), Mining Software Repositories (MSR), International Conference on Software Analysis, Evolution, and Reengineering (SANER), among others.She teaches courses primarily in software analytics, and software engineering at undergraduate and graduate levels.She serves in multiple leadership positions in the software engineering research community. She serves on the program committees of various conferences including ICSE, ESEC/FSE, and MSR. She is on the editorial board of the Journal of Systems and Software (JSS).
Listed skills include Text Mining, Data Analysis, Python, Java, and 34 others.
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Preetha Chatterjee work experience
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Assistant Professor
Current
Graduate Research Assistant
Research Interest: Improving software engineers' tools through data mining, text analysis and machine learning.- Developing automatic techniques to understand context of conversations and extract opinions from software developer chat communications using deep learning architectures.- Developed approaches towards automatically analyzing quality of information in software developer chat conversations using supervised machine learning techniques and natural language analysis.- Conducted an empirical study to learn how software engineers direct their efforts and what kinds of information they focus on within a post selected from the results returned in response to a search query on Q&A forums, especially on Stack Overflow. - Conducted an exploratory study to investigate the potential of developer chat communities as a mining source for software engineering tasks. - Developed a novel approach to identify and locate code examples and the natural language text describing the code segments in research articles. This project also involved designing a tool that takes different kinds of research articles as input and outputs an XML-based representation with markups to associate identified code segments with their specific descriptions.- Conducted an exploratory study to find different types of information embedded in a variety of software-related documents including blog posts, API documentation, code reviews, public chats, etc., and gain insight into the potential value and difficulty of mining the natural language text associated with the code snippets in these documents.- Explored the generality of an approach to automatically determine the high level actions of loop constructs (in Java), based on their structure, data flow and linguistic characteristics.
Instructor
As sole instructor, I taught the programming course (CISC181) for computer science and computer engineering majors at the University of Delaware during the 2019 10-week summer session. This course covers the principles of computer science illustrated and applied through programming in an object-oriented language (Java), and assumes students have already taken an introductory programming course in either Python or Racket. The programming projects illustrate computational problems, styles and issues that arise in computer systems development and in all application areas of computation.
Graduate Teaching Assistant
Assisted teaching in the following courses:Python programming course, SPRING 2015JAVA programming course,FALL 2014Intro to Computer Science with Web Applications, FALL 2015
Qa Engineer
Domain: Foreign Exchange Trading.- Performed Web-based Testing, Functional and Regression Testing of in-house Foreign Exchange Trading tool, and ensured adherence to quality norms throughout the testing process.- Performed debugging of multiple logs of application workflows for failed scenarios. - Contributed in building the in-house automation test framework using Groovy.
Software Engineer
Domain: Computational Advertising. - Single point of contact for the testing team of BRT (Business Response Team) which handled bug/enhancement requests from production. Analyzed software requirement specifications, prepared test plans, test scenarios (using TestLink), created and executed test cases, logged and tracked defects (in JIRA and Bugzilla).- Performed White-box (code-level) testing, Black-Box (Functional) & Regression Testing for the user interface to validate functionalities of different components, created & executed Perl/Shell scripts, ran MySQL queries on the database, and fixed bugs/defects in the source code (in JAVA).- Performed Scoping and estimated the timeline of the project, considering the efforts and number of resources available for a particular production release.
Project Engineer
Domain:Online stock/equity trading for the client Charles Schwab. - Developed the automation suite for regression testing (in Perl) and programming /debugging of Perl/Shell scripts to run batch processes in UNIX platform.- Created and executed test cases, identified and logged defects/bugs (Clear Quest).- Performed Sanity testing for new builds & version controlling using Clear-Case.Domain: Multi Functional Peripheral for the client Hewlett-Packard.- Created test plans and test sessions in QC, performed testing on builds - both in development as well as delivery phase using advanced testing tools like HP DSS, HP Web Jet Admin.- Found critical defects through ad-hoc/ exploratory testing, reviewed and fixed bugs in the source code. - Performed build qualification with Smoke & Sanity testing.
Preetha Chatterjee education
Doctor Of Philosophy (Ph.D.), Computer Science
Master Of Science (M.S.), Computer Science
Bachelor Of Technology (B.Tech.), Information Technology
Frequently asked questions about Preetha Chatterjee
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What company does Preetha Chatterjee work for?
Preetha Chatterjee works for Drexel University.
What is Preetha Chatterjee's role at Drexel University?
Preetha Chatterjee is listed as Assistant Professor at Drexel University | Research on mining software repositories, empirical software engineering at Drexel University.
What is Preetha Chatterjee's email address?
AeroLeads has found 1 work email signal at @drexel.edu for Preetha Chatterjee at Drexel University.
Where is Preetha Chatterjee based?
Preetha Chatterjee is based in United States while working with Drexel University.
What companies has Preetha Chatterjee worked for?
Preetha Chatterjee has worked for Drexel University, University Of Delaware, Integral Development Corp., Theorem, and Wipro Technologies.
How can I contact Preetha Chatterjee?
You can use AeroLeads to view verified contact signals for Preetha Chatterjee at Drexel University, including work email, phone, and LinkedIn data when available.
What schools did Preetha Chatterjee attend?
Preetha Chatterjee holds Doctor Of Philosophy (Ph.D.), Computer Science from University Of Delaware.
What skills is Preetha Chatterjee known for?
Preetha Chatterjee is listed with skills including Text Mining, Data Analysis, Python, Java, Perl, Unix, Mysql, and Machine Learning.
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