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Full-Text Articles in Physical Sciences and Mathematics

Îśakka: Mutation Testing For Actor Concurrency In Akka Using Real-World Bugs, Mohsen Moradi Moghadam, Mehdi Bagherzadeh, Raffi Takvor Khatchadourian Ph,D,, Hamid Bagheri Dec 2023

Îśakka: Mutation Testing For Actor Concurrency In Akka Using Real-World Bugs, Mohsen Moradi Moghadam, Mehdi Bagherzadeh, Raffi Takvor Khatchadourian Ph,D,, Hamid Bagheri

Publications and Research

Actor concurrency is becoming increasingly important in the real-world and mission-critical software. This requires these applications to be free from actor bugs, that occur in the real world, and have tests that are effective in finding these bugs. Mutation testing is a well-established technique that transforms an application to induce its likely bugs and evaluate the effectiveness of its tests in finding these bugs. Mutation testing is available for a broad spectrum of applications and their bugs, ranging from web to mobile to machine learning, and is used at scale in companies like Google and Facebook. However, there still is …


Towards Safe Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi Takvor Khatchadourian Ph.D., Tatiana Castro VĂ©lez, Mehdi Bagherzadeh, Nan Jia, Anita Raja Sep 2023

Towards Safe Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi Takvor Khatchadourian Ph.D., Tatiana Castro VĂ©lez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution. We present our ongoing work on automated refactoring that assists developers in specifying whether …


Towards Safe Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi T. Khatchadourian Ph,D,, Tatiana Castro VĂ©lez, Mehdi Bagherzadeh, Nan Jia, Anita Raja Sep 2023

Towards Safe Automated Refactoring Of Imperative Deep Learning Programs To Graph Execution, Raffi T. Khatchadourian Ph,D,, Tatiana Castro VĂ©lez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged at the expense of run-time performance. Though hybrid approaches aim for the "best of both worlds," using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution. We present our ongoing work on automated refactoring that assists developers in specifying whether …


Csc 71010/Csci 77100: Programming Languages/Software Engineering, Raffi T. Khatchadourian Jan 2023

Csc 71010/Csci 77100: Programming Languages/Software Engineering, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Introduction, Raffi T. Khatchadourian Jan 2023

Introduction, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Reengineering And Refactoring, Raffi T. Khatchadourian Jan 2023

Reengineering And Refactoring, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Wala Quick Start, Raffi T. Khatchadourian Jan 2023

Wala Quick Start, Raffi T. Khatchadourian

Open Educational Resources

Setting up and trying the TJ Watson Library for Analysis (WALA).


Building An Ast Eclipse Plug-In, Raffi T. Khatchadourian Jan 2023

Building An Ast Eclipse Plug-In, Raffi T. Khatchadourian

Open Educational Resources

Complete the Building an AST Eclipse Plug-in assignment. Once it works, find a medium-sized open-source Java project to run your plugin on. You may want to explore GitHub. Import the project into Eclipse and run your plug-in on it. Report on the following, which may require you to change some of the source code so that it is convenient:

  1. Project name.
  2. Project URL.
  3. Project description.
  4. The number of classes in the project.
  5. The number of user-defined methods in the project.
  6. For each class, the number of method calls.
  7. Statistics about the method calls:
    1. The total number of method calls …


Working With Control-Flow Graphs, Raffi T. Khatchadourian Jan 2023

Working With Control-Flow Graphs, Raffi T. Khatchadourian

Open Educational Resources

No abstract provided.


Review Java Basics In 2 Weeks (Slides), Shoshana Marcus Jan 2023

Review Java Basics In 2 Weeks (Slides), Shoshana Marcus

Open Educational Resources

No abstract provided.


Cp6200 Javaprogramming2 Oer - Oop Assignment - Item And Shopping Cart Classes, Shoshana Marcus Jan 2023

Cp6200 Javaprogramming2 Oer - Oop Assignment - Item And Shopping Cart Classes, Shoshana Marcus

Open Educational Resources

No abstract provided.


Cp 6200 Java Programming 2 Syllabus (Oer), Shoshana Marcus Jan 2023

Cp 6200 Java Programming 2 Syllabus (Oer), Shoshana Marcus

Open Educational Resources

No abstract provided.


Cp6200 Javaprogramming2 Oer - Oop Course Project, Shoshana Marcus Jan 2023

Cp6200 Javaprogramming2 Oer - Oop Course Project, Shoshana Marcus

Open Educational Resources

No abstract provided.