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Hello! I'm Arpita

Arpita Dutta

Research Fellow

School of Computing,

National University of Singapore,

13, Computing Dr, 117417,

Singapore

 

Email:

arpitad10j@gmail.com

dcsarpi@nus.edu.sg

arpita@comp.nus.edu.sg

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EDUCATION
EDUCATION
EXPERIENCE
December 2020-Present

Research Fellow

 July 2017-December 2020

Ph.D.

Indian Institute of Technology, Kharagpur, West Bengal, 721302
Ph.D., Computer Science and Engineering, July 2017 - Present
 
Supervisors:
  Prof. Rajib Mall and Prof. Pabitra Mitra

 

Research Area: 

   Software Engineering and Machine Learning

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School of Computing, National University of Singapore,
Computing 1, 13 Computing Drive, Singapore 117417.

Supervisor:
  Prof. Joxan Jaffer

Research Areas: Automated Program Analysis and Verification

 

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2015-2017

Master's Degre

National Institute of Technology, Rourkela, Odhisha, 769008

M.Tech., Computer Science.

Supervisor:

   Prof. Durga Prasad Mohapatra

​

Research Area:

   Software Testing (Concolic Tesing and MC/DC Coverage)

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CGPA: 9.78

2010-2014

Bachelor's Degree

Government Engineering College, Bilaspur, Chhattisgarh, 495009

B.E., Computer Science and Engineering

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CGPA: 9.1

PUBLICATIONS

Conferences

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  1. Arpita Dutta, A Complete Unit Test Framework for Agile Software Development, 6th International Conference on Lean and Agile Software Development, 22 January, 2022. (Accepted)

  2. Swadhin Kumar Barisal, Arpita Dutta, Sangharatna Godboley, Bibhudatta Sahoo and Durga Prasad Mohapatra,  Agility based Coverage Improvement, 6th International Conference on Lean and Agile Software Development, 22 January, 2022. (Accepted)

  3. Arpita Dutta, Pabitra Mitra and Rajib Mall, An Investigation into Effective Fault Localization, PhD Research Symposium, 18th International Conference on Distributed Computing and Intelligent Technology (ICDCIT-2022) KIIT, Bhubaneswar, India, 2022 (Accepted)

  4. Sangharatna Godboley and Arpita Dutta, PRFL: Predicate Rank based Fault Localization, 18th IEEE India Council International Conference (INDICON) 2021, IIT Guwahati, India,  19-21 December, 2021. 

  5. Sangharatna Godboley, Golla Monika Rani, Arpita Dutta, KLEEMA: A DSE based Mutation Analyser, In POSTER track at 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021 (Core-A)

  6. Sangharatna Godboley, Joxan Jaffar, Rasool Maghareh, Arpita Dutta, Toward Optimal MC/DC Test Case Generation. In POSTER track at 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021 (Core-A)

  7. Sangharatna Godboley, Joxan Jaffar, Rasool Maghareh, and Arpita Dutta, Toward Optimal MC/DC Test Case Generation, ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2021. ( Accepted as Regular paper + **Artifact Available, Functional, and Reusable Badges** in Artifact Evaluation track ) (Core-A)

  8. Sangharatna Godboley, Monika Rani Golla and Arpita Dutta, Presentation: The KLEEMA Prototype, KLEE Workshop, Imperial College London

  9. Sangharatna Godboley and Arpita Dutta, Dy-COPECA: A Dynamic version of MC/DC Analyzer for C program, 16th Evaluation of Novel Approaches to Software Engineering (ENASE 2021)

  10. Arpita Dutta, and Sangharatna Godboley, LASD 2021, MSFL: A Model for Fault Localization Using Mutation-Spectra Technique, 5th International Conference on Lean and Agile Software Development, 23 January, 2021. (Online event)

  11. Arpita Dutta, and Rajib Mall, A Function Dependency based Approach for Fault Localization with D*, 15th International Conference on Software Technologies, 2020. (Held virtually)

  12. Arpita Dutta, Nishant Pant, Pabitra Mitra, and Rajib Mall, Effective Fault Localization using an Ensemble Classifier, QR2MSE-2019, Zhangjiajie, Hunan, China, 2019. (Best Paper Award)

  13. Arpita Dutta, Rahul Jain, Saurabh Gupta, and Rajib Mall, Fault Localization Using a Weighted Function Dependency Graph, QR2MSE-2019, Hunan, China, 2019. (Presented)

  14. Arpita Dutta, Rohit Sahay, Pabitra Mitra, and Rajib Mall, Predicate Proximity in Failure: An MLP based Fault-Localization approach, TENCON-2019, Kerala, India, 2019. DOI: 10.1109/TENCON.2019.8929728

  15. Arpita Dutta, Shubham Kumar, and Sangharatna Godboley, Enhancing Test Cases generated by Concolic Testing, 12th Innovations in Software Engineering Conference (ISEC-2019), COEP Pune, 2019. (Accepted)

  16. Abha Maru, Arpita Dutta, Vinod Kumar, and Durga Prasad Mohapatra, Effective Software Fault Localization using a Back Propagation Neural Network, International Conference on Computational Intelligence in Data Mining (ICCIDM 2018), Burla, Odisha, India, 15-16 December, 2018.

  17. Arpita Dutta, Sangharatna Godboley, and Durga Prasad Mohapatra, An efficient code coverage technique for UML StateChart Diagram, 14th International IEEE India Conference INDICON, IIT Roorkee, India, December 2017.

  18. Arpita Dutta, Sangharatna Godboley, and Durga Prasad Mohapatra, MEMOSA: MEasuring MC/DC Of SOA Applications using Concolic Testing, 14th International IEEE India
    Conference INDICON, IIT Roorkee, India, December, 2017.

  19.  Arpita Dutta, Sangharatna Godboley and Durga Prasad Mohapatra, COLT: Extending CONCOLIC Testing to measure LCSAJ Coverage, 30th IEEE TENCON-16, Singapore, pp.373-378, 2016. DOI: 10.1109/TENCON.2016.7848024

  20. Sangharatna Godboley, Arpita Dutta, and Durga Prasad Mohapatra. Java-HCT: An approach to increase MC/DC using Hybrid Concolic Testing for Java programs. In proceedings of the 15th Federated Conference on Computer Science and Information Systems (36th IEEE Software Engineering Workshop), Gdansk University of Technology, Gdansk, Poland,Annals of Computer Science and Information Systems, Volume 8, pages 1709-1713, 2016.

  21. Sangharatna Godboley, Arpita Dutta, Avijit Das, and Durga Prasad Mohapatra, Measuring MC/DC at Design Phase using UML Sequence Diagram and Concolic Testing, 13th International IEEE India Conference INDICON, IISC, Bengaluru, India, pp. 1-6, 2016. DOI: 10.1109/INDICON.2016.783909.

  22. Arpita Dutta, Sangharatna Godboley and Durga Prasad Mohapatra, Measuring Hit Ratio metric for SOA based Application using Black-box testing, 3rd International Conference on Computational Intelligence in Data Mining (ICCIDM-16), Springer, KIIT, Bhubaneswar, 2016. 

  23.  Arpita Dutta, Sangharatna Godboley and Durga Prasad Mohapatra, Measuring Branch Coverage for the SOA based Application using Concolic Testing, International Conference on Advances in Computing and Data Sciences (ICACDS-16), Springer, Krishna Engineering College, Ghaziabad (UP) India, 2016. 

  24. Sangharatna Godboley, Arpita Dutta, Bhagyashree Besra and Durga Prasad Mohapatra,
    Green-
    JEXJ: A new tool to measure energy consumption of improved concolic testing, 2015
    International Conference on Green Computing and Internet of Things (ICGCIoT), Noida,
    pp. 36-41. 2015. DOI: 10.1109/ICGCIoT.2015.7380424. (Best Paper Award)

Journals:

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  1. Arpita Dutta, Amit Jha, and Rajib Mall, MuSim: Mutation based Fault Localization using Test Case Proximity, International Journal of Software Engineering and Knowledge Engineering, 2020. (SCI) (Accepted)

  2. Arpita Dutta, Richa Manral, Pabitra Mitra and Rajib Mall, HieDeep-Hierarchically Localizing Software Faults using DNN. IEEE Transaction on Reliability. DOI: 10.1109/TR.2019.2956120. 2019 (SCI)

  3. Arpita Dutta, Anwesha Patel, and Rajib Mall, An Investigation into the Effectiveness of White-Box T-way Testing, IET Software, 2019. DOI: 10.1049/iet-sen.2018.5309. 2019 (SCI)

  4. Abha Maru, Arpita Dutta, Vinod Kumar, and Durga Prasad Mohapatra, Software fault localization using BP neural network based on function and branch coverage, Evolutionary Intelligence, 1-18, 2019. (Scopus)

  5. Swadhin Kumar Barisal, Arpita Dutta, Sangharatna Godboley, Bihudatta Sahoo, Durga Prasad Mohapatra, MC/DC guided Test Sequence Prioritization using Firefly Algorithm, Evolutionary Intelligence, 1-14, 2019. (Scopus)

  6. Arpita Dutta, Sangharatna Godboley, and Durga Prasad Mohapatra, HiRSA: Computing Hit Ratio for SOA applications through Tcases, International Journal of Computational Systems Engineering (IJCSYSE), Inderscience. 2017.

  7. Sangharatna Godboley, Arpita Dutta, Durga Prasad Mohapatra, and Rajib Mall, Scaling Modied Condition / Decision Coverage using Distributed Concolic Testing for Java programs, Computer Standards & Interfaces, Elsevier 2018.(Accepted) (SCI)

  8. Sangharatna Godboley, Arpita Dutta, Durga Prasad Mohapatra, and Rajib Mall. GECO-JAP: A novel source-code preprocessing technique to improve code coverage. Computer Standards & Interfaces, Elsevier 2017. (Accepted) (SCI)

  9. Sangharatna Godboley, Arpita Dutta, Durga Prasad Mohapatra, and Rajib Mall. J3-Model: A novel framework for Improved Modied Condition/Decision Coverage Analysis. Computer Standards & Interfaces, Elsevier, Volume 50, pages 1-17, 2016. (SCI)

  10. Sangharatna Godboley, Subhrakanta Panda, Arpita Dutta, and Durga Prasad Mohapatra. An Automated Analysis of the Branch Coverage and Energy Consumption Using Concolic Testing, Arabian Journal for Science and Engineering. 2016. DOI:10.1007/s13369-016-2284-2. (SCI)

  11. Sangharatna Godboley, Arpita Dutta, Avijit Das, Durga Prasad Mohapatra, and Rajib Mall. Making a concolic tester achieve increased MC/DC, Innovations Systems and Software Engineering, 12(4), 319-332, 2016. DOI:10.1007/s11334-016-0284-8.

  12. Sangharatna Godboley, Arpita Dutta, and Durga Prasad Mohapatra. Reduced Energy Consumption for MC/DC Testing, International Journal of Business Information Systems(IJBIS), Inderscience. (In press)

  13.  Sangharatna Godboley, Arpita Dutta, Durga Prasad Mohapatra , and Rajib Mall. Green
    J3 Model: A novel approach to measure Energy Consumption of Modied Condition/Decision Coverage using Concolic Testing, CSI Transactions on ICT, pages 1-17, Springer,2016. DOI 10.1007/s40012-017-0157-9.

  14. Sangharatna Godboley, Arpita Dutta, and Durga Prasad Mohapatra. Green-DRCT:Measuring Energy Consumption of an enhanced Branch Coverage and Modied Condition/Decision Coverage Technique, IGI Global. (Accepted)

  15. Srijan Das, Arpita Dutta, Saurav Sharma, Sangharatna Godboley. A Comparative Anal-ysis of a Novel Anomaly Detection Algorithm with Neural Networks, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI Global, 2016. (Accepted)

ACHIEVEMENTS
CLIENTS
SKILLS

1. SANDEEP MOHAPATRA MEMORIAL MEDAL in 58th Technical Annual Session (2017) by The Instituteof Engineers (India).

 

2. BEST PAPER AWARD from IEEE ICGCIoT-15 at Galgotia University, Noida, U.P in 2015.

 

3. Ranked 2nd in Master of Technology (M.Tech) (Ist in CSE) in National Institute of Technology, Rourkela, batch 2015-2017.

 

4. Tution fee waivership for complete Bachelor of Engineering (2010-2014) through PET-CG.

 

5. I received 50,000 cash prize from Madhyamik Sikha Mandal C.G. (2010).

EXPERTISE
CONTACT
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