Recent Publications

All publications list here

To capture the complex onboarding pattern, we analyze different project features and activity & expertise of developers. Leveraging these features, we propose a learning-to-rank model named NNLRank (Neural Network for List-wise Ranking) to recommend projects that developers are likely to contribute.
IEEE Access 2018

We perform an empirical study to understand the interaction between IR-based similarity measures and document types, and observed that model choice has a significant impact on performance for the different types of artifacts. We found that such informed choice of similarity measure indeed leads to improved performance of the SE tools.
Technical Report 2018

We explore whether a general purpose search engine like Google is an optimal choice for code-related searches.
MSR 2018

We analyze the performance of different similarity metrics on various SE documents including a diverse combination of textual(e.g., description, readme), code (e.g., source code, API, import package), and a mixture of text and code (e.g., bug reports) artifacts.
ICSE 2018 Poster

Finding similar Github projects leveraging its artifacts.
NL+SE @FSE ’2016

Personalization provides more effective, useful and relevant search results. However, it also has the potential risk of revealing users' privacy by identifying their underlying intention from their logged search behaviors. To address this privacy issue, we proposed a Topic-based Privacy Protection solution on client side.
SIGIR’2016

Projects

Privacy in Information Retrieval

Personalization provides more effective, useful and relevant search results. However, it also has the potential risk of revealing users’ privacy by identifying their underlying intention from their logged search behaviors. To address this privacy issue, we proposed a Topic-based Privacy Protection solution on client side

Obfuscation Resilient Code Similarity Detection

Detect android malware in presence of obfuscation

Resources

Useful Reading

I list the following resource for my own archiving and easy access. People with similar interest might be benefited.

Contact & CV

Here is my CV. Last update: September 2018

  • masud@virginia.edu
  • 85 Engineer’s Way, P.O. Box 400740 Charlottesville, VA 22904-4740, USA