• An empirical characterization of software bugs in open-source Cyber-Physical Systems.

Fiorella Zampetti, Ritu Kapur, Massimiliano Di Penta, Sebastiano Panichella

Elsevier's  Journal of Systems and Software (JSS), June 2022.

<DOI> <Open-access link> 

• OSS effort estimation using software features similarity and developer activity-based metrics. 

Ritu Kapur and Balwinder Sodhi.

ACM Transactions on Software Engineering and Methodology (TOSEM), April 2022.

<DOI> <Preprint> <JSS Happy hour video>

• A Defect Estimator for Source Code: Linking Bug Reports With Programming Constructs Usage Metrics.

Ritu Kapur and Balwinder Sodhi.

ACM Transactions on Software Engineering and Methodology (TOSEM), April 2020.

ESEC/FSE 2021 - Journal First Track, August 2021.

<DOI> <Open-access link> <ESEC-FSE Event Link> <Slides> <Complete Video> <Teaser Video> <JSS Happy hour video>

• Review of various Load Balancing and Green Computing Techniques in the Cloud.

Ritu Kapur and Maitreyee Dutta.

Journal of Basic and Applied Engineering Research (JBAER), 2015.

<DOI> <Open-access link>

• Role of Meta-Heuristic Algorithms in Cloud Computing.

Ritu Kapur.

International Journal of Advance Research In Science And Engineering, 2015.

<DOI> <Open-access link>

• Towards a Knowledge warehouse and expert system for the automation of SDLC tasks.

Ritu Kapur and Balwinder Sodhi.

IEEE/ACM International Conference on Software and System Processes (ICSSP), May 2019, Montreal, Canada.

co-hosted with 43rd IEEE/ ACM International Conference on Software Engineering (ICSE), May 2019.

<DOI> <Open-access link> <Slides>

• Quantum Computing Platforms: Assessing the Impact on Quality Attributes and SDLC Activities. 

Balwinder Sodhi and Ritu Kapur.

18TH IEEE International Conference on Software Architecture (ICSA), March 2021, Stuttgart, Germany, Europe.

<DOI> <Open-access link> <Video> 

• BloatLibD: Detecting Bloat-Libraries in Java Applications.

Agrim Dewan, Poojith U Rao, Balwinder Sodhi, and Ritu Kapur.

16th ACM SIGMIS Internation Conference on the Evaluation of Novel Approaches to Software Engineering (ENASE), April 2021, Prague, Czech Republic, Europe.

<DOI> <Open-access link> <Slides> <Extended Python Applications version (Coming Soon)>

• Towards a practical framework for evaluating software architecture from a Quality perspective.

Ritu Kapur, Sumit Kalra, Kamlesh Tiwari, and Geetika Arora.

Under Review in the 15th European Conference on Software Architecture (ECSA 2021), September 2021, Sweden, Europe.

<DOI> <Open-access link>

• Using Paragraph Vectors to improve our existing code review assisting tool-CRUSO.

Ritu Kapur, Balwinder Sodhi, Poojith U Rao, and Shipra Sharma.

14th ACM SigSoft International Conference on the Innovations in Software Engineering (ISEC), Feb 2021, Bhubaneswar, Odisha, India.

<DOI> <Open-access link> <Slides> <Video>

• A cost-effective approach for resource scheduling in cloud computing

Ritu Kapur.

5th IEEE International Conference on Computer Communication and Control (IC4), Sept 2015, Indore, Madhya Pradesh, India.

<DOI> <Open-access link>

• A workload balanced approach for resource scheduling in cloud computing.

Ritu Kapur.

8th IEEE International Conference on Contemporary Computing (IC3), Aug 2015, Noida, Uttar Pradesh, India.

<DOI> <Open-access link>

• Review of nature-inspired algorithms in cloud computing.

Ritu Kapur.

IEEE International Conference on Computing, Communication, and Automation (ICCCA), May 2015, Greater Noida, Uttar Pradesh, India.

<DOI> <Open-access link>

• XtraLibD: Detecting Irrelevant Third-Party Libraries in Java and Python Applications.

Ritu Kapur, Poojith U. Rao, Agrim Dewan, Balwinder Sodhi

Evaluation of Novel Approaches to Software Engineering, Part of the Communications in Computer and Information Science book series (CCIS, volume 1556) (Extended version of BloatLibD paper published in ENASE 2021.)

<DOI> <Open-access Link>

Robin Khosla, Koushik Guha, Tripti Goel, Ritu Khosla, Amlan Jyoti Borah, Rishiraj Paul Chowdhury, Dibyajyoti Patgiri, Roseleen Borah, "A Smart Agriculture system for farm environment monitoring and crop selection using IoT and Machine Learning," German Patent, IPC: G06Q50/02, no. 202023100001, 2023.