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ORCIDAshish Sureka
Person information
- affiliation: Ashoka University, Haryana, India
- affiliation (former): ABB Corporate Research, Bangalore, India
- affiliation: Indraprastha Institute of Information Technology, Delhi (IIIT-D), Software Analytics Research Lab
- affiliation: Infosys Technologies Ltd, Bangalore, India
- affiliation: North Carolina State University, Raleigh, Department of Computer Science
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2020 – today
- 2020
[c115]Veena Saini, Paramvir Singh, Ashish Sureka:
Control-Flow based Anomaly Detection in the Bug-Fixing Process of Open-Source Projects. ISEC 2020: 4:1-4:11
2010 – 2019
- 2019
- [j21]Sangeeta Lal, Neetu Sardana, Ashish Sureka:
Three-level learning for improving cross-project logging prediction for if-blocks. J. King Saud Univ. Comput. Inf. Sci. 31(4): 481-496 (2019) - [j20]Lov Kumar
, Ashish Sureka:
Quality of service (QoS) parameters prediction for web services using hybrid neural network and ensemble methods. Int. J. Syst. Assur. Eng. Manag. 10(6): 1577-1614 (2019) - 2018
- [j19]Lov Kumar, Saikrishna Sripada, Ashish Sureka, Santanu Ku. Rath:
Effective fault prediction model developed using Least Square Support Vector Machine (LSSVM). J. Syst. Softw. 137: 686-712 (2018) - [j18]Paramvir Singh, Sheikh Umar Farooq, Saurabh Tiwari, Ashish Sureka:
An Experience Report on Workshop on Emerging Software Engineering Education. ACM SIGSOFT Softw. Eng. Notes 43(2): 12-23 (2018) - [c114]Swati Agarwal, Nitish Mittal, Ashish Sureka:
Potholes and bad road conditions: mining Twitter to extract information on killer roads. COMAD/CODS 2018: 67-77 - [c113]Lov Kumar, Ashish Sureka:
An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework. COMPSAC (1) 2018: 2-11 - [c112]Saurabh Tiwari, Deepti Ameta, Paramvir Singh, Ashish Sureka:
Teaching requirements engineering concepts using case-based learning. SEEM@ICSE 2018: 8-15 - [c111]Lov Kumar, Ashish Sureka:
Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction: Aging Related Bug Prediction. ISEC 2018: 2:1-2:11 - [c110]Saurabh Tiwari, Veena Saini, Paramvir Singh, Ashish Sureka:
A Case Study on the Application of Case-Based Learning in Software Testing. ISEC 2018: 11:1-11:5 - [i27]Saurabh Tiwari, Deepti Ameta, Paramvir Singh, Ashish Sureka:
Teaching Requirements Engineering Concepts using Case-Based Learning. CoRR abs/1804.01770 (2018) - [i26]Aditya G. Parameswaran, Dibyendu Mishra, Sanchit Bansal, Vinayak Agarwal, Anjali Goyal, Ashish Sureka:
Automatic email response suggestion for support departments within a university. PeerJ Prepr. 6: e26531 (2018) - [i25]Vijay Lingam, Simran Bhuria, Mayukh Nair, Divij Gurpreetsingh, Anjali Goyal, Ashish Sureka:
Deep learning for conflicting statements detection in text. PeerJ Prepr. 6: e26589 (2018) - [i24]Deva Surya Vivek Madala, Ayushree Gangal, Shreyash Krishna, Anjali Goyal, Ashish Sureka:
An empirical analysis of machine learning models for automated essay grading. PeerJ Prepr. 6: e3518 (2018) - 2017
- [j17]Sangeeta Lal, Neetu Sardana, Ashish Sureka:
ECLogger: Cross-Project Catch-Block Logging Prediction Using Ensemble of Classifiers. e Informatica Softw. Eng. J. 11(1): 7-38 (2017) - [j16]Swati Agarwal, Nitish Mittal, Ashish Sureka:
A general overview and bibliometric analysis of seven ACM hypertext and web conferences. Int. J. Web Eng. Technol. 12(3): 190-233 (2017) - [j15]Swati Agarwal, Nitish Mittal, Ashish Sureka:
Minority ethnic groups in computer science research: what is the bibliography data telling us? SIGCAS Comput. Soc. 47(2): 5-15 (2017) - [j14]Lov Kumar, Ranjan Kumar Behera, Santanu Kumar Rath, Ashish Sureka:
Transfer Learning for Cross-Project Change-Proneness Prediction in Object-Oriented Software Systems: A Feasibility Analysis. ACM SIGSOFT Softw. Eng. Notes 42(3): 1-11 (2017) - [j13]Lov Kumar, Ranjan Kumar Behera, Santanu Kumar Rath, Ashish Sureka:
A Bibliometric Study of ACM SIGSOFT Software Engineering Notes from 2007 to 2016. ACM SIGSOFT Softw. Eng. Notes 42(3): 1-7 (2017) - [j12]Swati Agarwal, Nitish Mittal, Ashish Sureka:
How healthy are ACM SIGWEB sponsored conferences? SIGWEB Newsl. 2017(Spring): 4:1-4:17 (2017) - [j11]Swati Agarwal, Nitish Mittal, Ashish Sureka:
How healthy are DocEng, JCDL and UMAP series of conferences? SIGWEB Newsl. 2017(Summer): 5:1-5:14 (2017) - [c109]Sandhya Tarwani, Ashish Sureka:
Investigating the Effectiveness of Greedy Algorithm on Open Source Software Systems for Determining Refactoring Sequence. QuASoQ@APSEC 2017: 43-50 - [c108]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Estimating Web Service Quality of Service Parameters using Source Code Metrics and LSSVM. QuASoQ@APSEC 2017: 66-73 - [c107]Lov Kumar, Ashish Sureka:
Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level. APSEC 2017: 90-99 - [c106]Swati Agarwal, Ashish Sureka:
Investigating the Role of Twitter in E-Governance by Extracting Information on Citizen Complaints and Grievances Reports. BDA 2017: 300-310 - [c105]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
An Empirical Analysis on Effective Fault Prediction Model Developed Using Ensemble Methods. COMPSAC (1) 2017: 244-249 - [c104]Veena Saini, Paramvir Singh, Ashish Sureka:
SEABED: An Open-Source Software Engineering Case-Based Learning Database. COMPSAC (1) 2017: 426-431 - [c103]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Using Source Code Metrics and Multivariate Adaptive Regression Splines to Predict Maintainability of Service Oriented Software. HASE 2017: 88-95 - [c102]Denzil Correa, Ashish Sureka, Sangeeta Lal:
Investigation of IR based topic models on issue tracking systems to infer software-specific semantic related term pairs. IC3 2017: 1-5 - [c101]Lov Kumar, Ashish Sureka:
Analyzing fault prediction usefulness from cost perspective using source code metrics. IC3 2017: 1-7 - [c100]Lov Kumar, Ashish Sureka:
Neural network with multiple training methods for web service quality of service parameter prediction. IC3 2017: 1-7 - [c99]Richa Sharma, Ashish Sureka:
CRUISE: A platform for crowdsourcing Requirements Elicitation and evolution. IC3 2017: 1-7 - [c98]Swati Agarwal, Ashish Sureka:
A Collision of Beliefs: Investigating Linguistic Features for Religious Conflicts Identification on Tumblr. ICDCIT 2017: 43-57 - [c97]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness. ISEC 2017: 4-14 - [c96]Lov Kumar, Ashish Sureka:
Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level. ISEC 2017: 172-180 - [c95]Swati Agarwal, Ashish Sureka:
Investigating the Dynamics of Religious Conflicts by Mining Public Opinions on Social Media. PAKDD (1) 2017: 421-433 - [c94]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Using source code metrics to predict change-prone web services: A case-study on ebay services. MaLTeSQuE 2017: 1-7 - [e6]P. Krishna Reddy, Ashish Sureka, Sharma Chakravarthy, Subhash Bhalla:
Big Data Analytics - 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings. Lecture Notes in Computer Science 10721, Springer 2017, ISBN 978-3-319-72412-6 [contents] - [e5]Srinivas Alum, Ananth Kalyanaraman, Bora Uçar, Kishore Kothapalli, Mahantesh Halappanavar, Kamesh Madduri, Madhu Govindaraju, Yinglong Xia, Sushil K. Prasad, Martina Barnas, Ashish Sureka, Pankesh Patel, Vikas Saxena, Sanjay Goel:
Tenth International Conference on Contemporary Computing, IC3 2017, Noida, India, August 10-12, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3077-8 [contents] - [e4]Ravi Prakash Gorthi, Santonu Sarkar, Nenad Medvidovic, Vinay Kulkarni, Atul Kumar, Padmaja Joshi, Paola Inverardi, Ashish Sureka, Richa Sharma:
Proceedings of the 10th Innovations in Software Engineering Conference, ISEC 2017, Jaipur, India, February 5-7, 2017. ACM 2017, ISBN 978-1-4503-4856-0 [contents] - [i23]Jeevan Joishi, Ashish Sureka:
Graph or Relational Databases: A Speed Comparison for Process Mining Algorithm. CoRR abs/1701.00072 (2017) - [i22]Ashish Sureka:
Parichayana: An Eclipse Plugin for Detecting Exception Handling Anti-Patterns and Code Smells in Java Programs. CoRR abs/1701.00108 (2017) - [i21]Swati Agarwal, Ashish Sureka:
Characterizing Linguistic Attributes for Automatic Classification of Intent Based Racist/Radicalized Posts on Tumblr Micro-Blogging Website. CoRR abs/1701.04931 (2017) - [i20]Swati Agarwal, Ashish Sureka:
Investigating the Application of Common-Sense Knowledge-Base for Identifying Term Obfuscation in Adversarial Communication. CoRR abs/1701.04934 (2017) - [i19]Kunal Gupta, Astha Sachdev, Ashish Sureka:
Empirical Analysis on Comparing the Performance of Alpha Miner Algorithm in SQL Query Language and NoSQL Column-Oriented Databases Using Apache Phoenix. CoRR abs/1703.05481 (2017) - [i18]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction. CoRR abs/1704.04383 (2017) - [i17]Lov Kumar, Ashish Sureka:
A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems. CoRR abs/1712.07944 (2017) - 2016
- [j10]Sangeeta Lal, Neetu Sardana, Ashish Sureka:
Improving Logging Prediction on Imbalanced Datasets: A Case Study on Open Source Java Projects. Int. J. Open Source Softw. Process. 7(2): 43-71 (2016) - [j9]Swati Agarwal, Nitish Mittal, Rohan Katyal, Ashish Sureka, Denzil Correa:
Women in computer science research: what is the bibliography data telling us? SIGCAS Comput. Soc. 46(1): 7-19 (2016) - [j8]Richa Sharma, Peeyush Aggarwal, Ashish Sureka:
Insights from Mining Eleven Years of Scholarly Paper Publications in Requirements Engineering (RE) Series of Conferences. ACM SIGSOFT Softw. Eng. Notes 41(2): 1-6 (2016) - [j7]Richa Sharma, Ashish Sureka:
A Nine Year Story of the India Software Engineering Conference from 2008 to 2016. ACM SIGSOFT Softw. Eng. Notes 41(5): 31-44 (2016) - [j6]Swati Agarwal, Nitish Mittal, Ashish Sureka:
A scientometric analysis of 9 ACM SIGWEB cooperating conferences. SIGWEB Newsl. 2016(Autumn): 6:1-6:15 (2016) - [j5]Swati Agarwal, Nitish Mittal, Ashish Sureka:
A glance at seven ACM SIGWEB series of conferences. SIGWEB Newsl. 2016(Summer): 5:1-5:10 (2016) - [c93]Nitish Mittal, Swati Agarwal, Ashish Sureka:
Got a Complaint?- Keep Calm and Tweet It! ADMA 2016: 619-635 - [c92]Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Predicting Quality of Service (QoS) Parameters using Extreme Learning Machines with Various Kernel Methods. QuASoQ/TDA@APSEC 2016: 27-34 - [c91]Lov Kumar, Saikrishna Sripada, Ashish Sureka:
A Review of Six Years of Asia-Pacific Software Engineering Conference. APSEC 2016: 341-344 - [c90]Swati Agarwal, Ashish Sureka:
Investigating the Potential of Aggregated Tweets as Surrogate Data for Forecasting Civil Protests. CODS 2016: 8:1-8:6 - [c89]Prerna Juneja, Divya Kundra, Ashish Sureka:
Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models Generated by Mining Event-Log Data in Issue Tracking Systems. COMPSAC 2016: 53-62 - [c88]Xin Xia, David Lo, Denzil Correa, Ashish Sureka, Emad Shihab:
It Takes Two to Tango: Deleted Stack Overflow Question Prediction with Text and Meta Features. COMPSAC 2016: 73-82 - [c87]Sangeeta Lal, Neetu Sardana, Ashish Sureka:
LogOptPlus: Learning to Optimize Logging in Catch and If Programming Constructs. COMPSAC 2016: 215-220 - [c86]Swati Agarwal, Ashish Sureka:
But I did not Mean It! - Intent Classification of Racist Posts on Tumblr. EISIC 2016: 124-127 - [c85]Swati Agarwal, Ashish Sureka:
Role of Author Personality Traits for Identifying Intent Based Racist Posts. EISIC 2016: 197 - [c84]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Siddharth Dawar, Vikram Goyal, Ashish Sureka, Bay Vo:
A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns. ICGEC 2016: 127-135 - [c83]Lov Kumar, Raoul Jetley, Ashish Sureka:
Source code metrics for programmable logic controller (PLC) ladder diagram (LD) visual programming language. WETSoM@ICSE 2016: 15-21 - [c82]Sangeeta Lal, Ashish Sureka:
LogOpt: Static Feature Extraction from Source Code for Automated Catch Block Logging Prediction. ISEC 2016: 151-155 - [c81]Saurabh Chauhan, Pankesh Patel, Ashish Sureka, Flávia Coimbra Delicato, Sanjay Chaudhary:
Demonstration Abstract: IoTSuite - A Framework to Design, Implement, and Deploy IoT Applications. IPSN 2016: 37:1-37:2 - [c80]Vidushi Chaudhary, Vishnu Agrawal, Pragya Sureka, Ashish Sureka:
An Experience Report on Teaching Programming and Computational Thinking to Elementary Level Children Using Lego Robotics Education Kit. T4E 2016: 38-41 - [c79]Divya Kundra, Ashish Sureka:
An Experience Report on Teaching Compiler Design Concepts Using Case-Based and Project-Based Learning Approaches. T4E 2016: 216-219 - [e3]Horst Lichter, Konrad Fögen, Thanwadee Sunetnanta, Toni Anwar, Aiko Yamashita, Leon Moonen, Tom Mens, Amjed Tahir, Ashish Sureka:
Joint Proceedings of the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) and 1st International Workshop on Technical Debt Analytics (TDA 2016) co-located with the 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), Hamilton, New Zealand, December 6, 2016. CEUR Workshop Proceedings 1771, CEUR-WS.org 2016 [contents] - [e2]Santonu Sarkar, Ashish Sureka, Domenico Cotroneo, Nishant Sinha, Vibha Singhal Sinha, Radhika Venkatasubramanyam, Padmaja Joshi, R. D. Naik, Pushpendra Singh, JayPrakash Lalchandani:
Proceedings of the 9th India Software Engineering Conference, Goa, India, February 18-20, 2016. ACM 2016, ISBN 978-1-4503-4018-2 [contents] - [i16]Swati Agarwal, Ashish Sureka:
Spider and the Flies : Focused Crawling on Tumblr to Detect Hate Promoting Communities. CoRR abs/1603.09164 (2016) - [i15]Lov Kumar, Ashish Sureka:
Thirteen Years of Mining Software Repositories (MSR) Conference - What is the Bibliography Data Telling Us? CoRR abs/1609.06266 (2016) - [i14]Vidushi Chaudhary, Vishnu Agrawal, Ashish Sureka:
An Experimental Study on the Learning Outcome of Teaching Elementary Level Children using Lego Mindstorms EV3 Robotics Education Kit. CoRR abs/1610.09610 (2016) - [i13]Lov Kumar, Saikrishna Sripada, Ashish Sureka:
A Bibliometric Study of Asia Pacific Software Engineering Conference from 2010 to 2015. CoRR abs/1610.09635 (2016) - [i12]Divya Kundra, Ashish Sureka:
Application of Case-Based Teaching and Learning in Compiler Design Course. CoRR abs/1611.00271 (2016) - 2015
- [j4]Sangeeta Lal, Neetu Sardana, Ashish Sureka:
Two Level Empirical Study of Logging Statements in Open Source Java Projects. Int. J. Open Source Softw. Process. 6(1): 49-73 (2015) - [j3]Ashish Sureka, Y. Raghu Reddy, Pornsiri Muenchaisri, Masateru Tsunoda:
A Report on Software Engineering Education Workshop (SEEW) 2014 Co-Located with Asia-Pacific Software Engineering Conference 2014. ACM SIGSOFT Softw. Eng. Notes 40(1): 40-43 (2015) - [c78]Ashish Sureka, Himanshu Singh, Manjunat Bagewadi, Abhishek Mitra, Rohit Karanth:
A Decision Support Platform for Guiding a Bug Triage for Resolver Recommendation Using Textual and Non-Textual Features. QuASoQ/WAWSE/CMCE@APSEC 2015: 23-30 - [c77]Ritika Atal, Ashish Sureka:
Anukarna: A Software Engineering Simulation Game for Teaching Practical Decision Making in Peer Code Review. QuASoQ/WAWSE/CMCE@APSEC 2015: 63-70 - [c76]Kirti Garg, Ashish Sureka, Vasudeva Varma:
A Case Study on Teaching Software Engineering Concepts using a Case-Based Learning Environment. QuASoQ/WAWSE/CMCE@APSEC 2015: 71-78 - [c75]Bowen Xu, David Lo, Xin Xia, Ashish Sureka, Shanping Li:
EFSPredictor: Predicting Configuration Bugs with Ensemble Feature Selection. APSEC 2015: 206-213 - [c74]Swati Agarwal, Ashish Sureka, Vikram Goyal:
Open Source Social Media Analytics for Intelligence and Security Informatics Applications. BDA 2015: 21-37 - [c73]Kritika Anand, Nisha Gupta, Ashish Sureka:
Utility-Based Control Flow Discovery from Business Process Event Logs. BDA 2015: 69-83 - [c72]Astha Sachdev, Kunal Gupta, Ashish Sureka:
Khanan: Performance Comparison and Programming \alpha α -Miner Algorithm in Column-Oriented and Relational Database Query Languages. BDA 2015: 165-180 - [c71]Divya Kundra, Prerna Juneja, Ashish Sureka:
Vidushi: Parallel Implementation of Alpha Miner Algorithm and Performance Analysis on CPU and GPU Architecture. Business Process Management Workshops 2015: 230-241 - [c70]Kunal Gupta, Astha Sachdev, Ashish Sureka:
Pragamana: Performance Comparison and Programming Alpha-miner Algorithm in Relational Database Query Language and NoSQL Column-Oriented Using Apache Phoenix. C3S2E 2015: 113-118 - [c69]Vikram Goyal, Ashish Sureka, Dhaval Patel:
Efficient Skyline Itemsets Mining. C3S2E 2015: 119-124 - [c68]Swati Agarwal, Ashish Sureka:
Using common-sense knowledge-base for detecting word obfuscation in adversarial communication. COMSNETS 2015: 1-6 - [c67]Saikrishna Sripada, Y. Raghu Reddy, Ashish Sureka:
In Support of Peer Code Review and Inspection in an Undergraduate Software Engineering Course. CSEE&T 2015: 3-6 - [c66]Vikram Goyal, Siddharth Dawar, Ashish Sureka:
High Utility Rare Itemset Mining over Transaction Databases. DNIS 2015: 27-40 - [c65]Swati Agarwal, Ashish Sureka:
Topic-Specific YouTube Crawling to Detect Online Radicalization. DNIS 2015: 133-151 - [c64]Nisha Gupta, Kritika Anand, Ashish Sureka:
Pariket: Mining Business Process Logs for Root Cause Analysis of Anomalous Incidents. DNIS 2015: 244-263 - [c63]Swati Agarwal, Ashish Sureka:
Using KNN and SVM Based One-Class Classifier for Detecting Online Radicalization on Twitter. ICDCIT 2015: 431-442 - [c62]Jeevan Joishi, Ashish Sureka:
Vishleshan: Performance Comparison and Programming Process Mining Algorithms in Graph-Oriented and Relational Database Query Languages. IDEAS 2015: 192-197 - [c61]Yash Lamba, Manisha Khattar, Ashish Sureka:
Pravaaha: Mining Android Applications for Discovering API Call Usage Patterns and Trends. ISEC 2015: 10-19 - [c60]Manisha Khattar, Yash Lamba, Ashish Sureka:
SARATHI: Characterization Study on Regression Bugs and Identification of Regression Bug Inducing Changes: A Case-Study on Google Chromium Project. ISEC 2015: 50-59 - [c59]Ashish Sureka, Atul Kumar, Shrinath Gupta:
Ahaan: Software Process Intelligence: Mining Software Process Data for Extracting Actionable Information. ISEC 2015: 198-199 - [c58]Bimlesh Wadhwa, Bharat Gera, Ashish Sureka:
A Report on Software Engineering Education Workshop (SEED) colocated with ISEC 2015. ISEC 2015: 206-207 - [c57]Akanksha Mishra, Ashish Sureka:
A Graph Processing Based Approach for Automatic Detection of Semantic Inconsistency Between BPMN Process Model and SBVR Rules. MIKE 2015: 115-129 - [c56]Swati Agarwal, Ashish Sureka:
A Topical Crawler for Uncovering Hidden Communities of Extremist Micro-Bloggers on Tumblr. #MSM 2015: 26-27 - [c55]Monika Gupta, Ashish Sureka, Srinivas Padmanabhuni, Allahbaksh M. Asadullah:
Identifying Software Process Management Challenges: Survey of Practitioners in a Large Global IT Company. MSR 2015: 346-356 - [c54]Ambika Tripathi, Savita Dabral, Ashish Sureka:
University-industry collaboration and open source software (OSS) dataset in mining software repositories (MSR) research. SWAN@SANER 2015: 39-40 - [e1]Srinivas Padmanabhuni, Raghu Nambiar, Premkumar T. Devanbu, Murali Krishna Ramanathan, Ashish Sureka:
Proceedings of the 8th India Software Engineering Conference, ISEC 2015, Bangalore, India, February 18-20, 2015. ACM 2015, ISBN 978-1-4503-3432-7 [contents] - [i11]Ashish Sureka, Ambika Tripathi, Savita Dabral:
Survey Results on Threats To External Validity, Generalizability Concerns, Data Sharing and University-Industry Collaboration in Mining Software Repository (MSR) Research. CoRR abs/1506.01499 (2015) - [i10]Ashish Sureka:
Intention-Oriented Process Model Discovery from Incident Management Event Logs. CoRR abs/1507.01062 (2015) - [i9]Ashish Sureka:
Kernel Based Sequential Data Anomaly Detection in Business Process Event Logs. CoRR abs/1507.01168 (2015) - [i8]Swati Agarwal, Ashish Sureka:
Applying Social Media Intelligence for Predicting and Identifying On-line Radicalization and Civil Unrest Oriented Threats. CoRR abs/1511.06858 (2015) - [i7]Prerna Juneja, Divya Kundra, Ashish Sureka:
Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking System. CoRR abs/1511.07023 (2015) - 2014
- [c53]Ayushi Rastogi, Ashish Sureka:
What Community Contribution Pattern Says about Stability of Software Project? APSEC (2) 2014: 31-34 - [c52]Sangeeta Lal, Denzil Correa, Ashish Sureka:
Migrated Question Prediction on StackExchange. APSEC (2) 2014: 35-38 - [c51]Monika Gupta, Ashish Sureka:
Process Cube for Software Defect Resolution. APSEC (1) 2014: 239-246 - [c50]Ashish Sureka:
Requirements Prioritization and Next-Release Problem under Non-additive Value Conditions. Australian Software Engineering Conference 2014: 120-123 - [c49]Ashish Sureka, Girish Maskeri Rama, Atul Kumar:
Kashvi: Process Mining Software Repositories. COMAD 2014: 11-13 - [c48]Swati Agarwal, Ashish Sureka:
A focused crawler for mining hate and extremism promoting videos on YouTube. HT 2014: 294-296 - [c47]Ritika Jain, Smita Ghaisas, Ashish Sureka:
SANAYOJAN: a framework for traceability link recovery between use-cases in software requirement specification and regulatory documents. RAISE 2014: 12-18 - [c46]Ayushi Aggarwal, Gajendra Waghmare, Ashish Sureka:
Mining issue tracking systems using topic models for trend analysis, corpus exploration, and understanding evolution. RAISE 2014: 52-58 - [c45]Megha Mittal, Ashish Sureka:
Process mining software repositories from student projects in an undergraduate software engineering course. ICSE Companion 2014: 344-353 - [c44]Rahul Mishra, Ashish Sureka:
Mining Peer Code Review System for Computing Effort and Contribution Metrics for Patch Reviewers. MUD@ICSME 2014: 11-15 - [c43]Monika Gupta, Ashish Sureka:
Nirikshan: mining bug report history for discovering process maps, inefficiencies and inconsistencies. ISEC 2014: 1:1-1:10 - [c42]Ayushi Rastogi, Ashish Sureka:
SamikshaViz: a panoramic view to measure contribution and performance of software maintenance professionals by mining bug archives. ISEC 2014: 2:1-2:10 - [c41]Ashish Sureka, Swati Agarwal:
Learning to Classify Hate and Extremism Promoting Tweets. JISIC 2014: 320 - [c40]Monika Gupta, Ashish Sureka, Srinivas Padmanabhuni:
Process mining multiple repositories for software defect resolution from control and organizational perspective. MSR 2014: 122-131 - [c39]Ayushi Rastogi, Ashish Sureka:
Does Contributor Characteristics Influence Future Participation? A Case Study on Google Chromium Issue Tracking System. OSS 2014: 164-167 - [c38]Nisha Aggarwal, Swati Agarwal, Ashish Sureka:
Mining YouTube metadata for detecting privacy invading harassment and misdemeanor videos. PST 2014: 84-93 - [c37]Denzil Correa, Ashish Sureka:
Chaff from the wheat: characterization and modeling of deleted questions on stack overflow. WWW 2014: 631-642 - [i6]Denzil Correa, Ashish Sureka:
Chaff from the Wheat : Characterization and Modeling of Deleted Questions on Stack Overflow. CoRR abs/1401.0480 (2014) - 2013
- [c36]Denzil Correa, Sangeeta Lal, Apoorv Saini, Ashish Sureka:
Samekana: A Browser Extension for Including Relevant Web Links in Issue Tracking System Discussion Forum. APSEC (1) 2013: 25-33 - [c35]Ayushi Rastogi, Ashish Sureka:
SamikshaUmbra: Contribution and Performance Assessment of Software Maintenance Professionals by Mining Software Repositories. APSEC (2) 2013: 170-175 - [c34]Denzil Correa, Ashish Sureka:
Integrating Issue Tracking Systems with Community-Based Question and Answering Websites. Australian Software Engineering Conference 2013: 88-96 - [c33]Swati Agarwal, Ashish Sureka:
Copyright Infringement Detection of Music Videos on YouTube by Mining Video and Uploader Meta-data. BDA 2013: 48-67 - [c32]Denzil Correa, Ashish Sureka:
Fit or unfit: analysis and prediction of 'closed questions' on stack overflow. COSN 2013: 201-212 - [c31]Ayushi Rastogi, Arpit Gupta, Ashish Sureka:
Samiksha: mining issue tracking system for contribution and performance assessment. ISEC 2013: 13-22 - [c30]Vidushi Chaudhary, Ashish Sureka:
Contextual feature based one-class classifier approach for detecting video response spam on YouTube. PST 2013: 195-204 - [i5]Denzil Correa, Ashish Sureka:
Solutions to Detect and Analyze Online Radicalization : A Survey. CoRR abs/1301.4916 (2013) - [i4]Denzil Correa, Ashish Sureka:
Fit or Unfit : Analysis and Prediction of 'Closed Questions' on Stack Overflow. CoRR abs/1307.7291 (2013) - [i3]Ashish Sureka, Monika Gupta, Dipto Sarkar, Vidushi Chaudhary:
A Case-Study on Teaching Undergraduate-Level Software Engineering Course Using Inverted-Classroom, Large-Group, Real-Client and Studio-Based Instruction Model. CoRR abs/1309.0714 (2013) - 2012
- [j2]Rakesh Shukla, Ashish Sureka, Rushikesh K. Joshi, Rajib Mall:
A report on software engineering education workshop. ACM SIGSOFT Softw. Eng. Notes 37(3): 26-31 (2012) - [c29]Sangeeta Lal, Ashish Sureka:
Comparison of Seven Bug Report Types: A Case-Study of Google Chrome Browser Project. APSEC 2012: 517-526 - [c28]Denzil Correa, Ashish Sureka, Mayank Pundir:
iTop: interaction based topic centric community discovery on twitter. PIKM 2012: 51-58 - [c27]Sangeeta Lal, Ashish Sureka:
A static technique for fault localization using character n-gram based information retrieval model. ISEC 2012: 109-118 - [c26]Ashish Sureka:
Source code identifier splitting using Yahoo image and web search engine. Software Mining 2012: 1-8 - [c25]Denzil Correa, Ashish Sureka, Raghav Sethi:
WhACKY! - What anyone could know about you from Twitter. PST 2012: 43-50 - [c24]Ashish Sureka:
Learning to Classify Bug Reports into Components. TOOLS (50) 2012: 288-303 - [i2]Aditi Gupta, Ponnurangam Kumaraguru, Ashish Sureka:
Characterizing Pedophile Conversations on the Internet using Online Grooming. CoRR abs/1208.4324 (2012) - 2011
- [j1]Pradeep Kumar, Kishore Varma Indukuri, Ashish Sureka:
Fuzzy based clustering algorithm for privacy preserving data mining. Int. J. Bus. Inf. Syst. 7(1): 27-40 (2011) - [c23]Ashish Sureka, Sangeeta Lal, Lucky Agarwal:
Applying Fellegi-Sunter (FS) Model for Traceability Link Recovery between Bug Databases and Version Archives. APSEC 2011: 146-153 - [c22]Denzil Correa, Ashish Sureka:
Mining tweets for tag recommendation on social media. SMUC 2011: 69-76 - [c21]Ashish Sureka, Atul Goyal, Ayushi Rastogi:
Using social network analysis for mining collaboration data in a defect tracking system for risk and vulnerability analysis. ISEC 2011: 195-204 - [i1]Ashish Sureka:
Mining User Comment Activity for Detecting Forum Spammers in YouTube. CoRR abs/1103.5044 (2011) - 2010
- [c20]Ashish Sureka, Ponnurangam Kumaraguru, Atul Goyal, Sidharth Chhabra:
Mining YouTube to Discover Extremist Videos, Users and Hidden Communities. AIRS 2010: 13-24 - [c19]Ashish Sureka, Pankaj Jalote:
Detecting Duplicate Bug Report Using Character N-Gram-Based Features. APSEC 2010: 366-374 - [c18]Ashish Sureka, Kishore Varma Indukuri:
Linguistic analysis of bug report titles with respect to the dimension of bug importance. Bangalore Compute Conf. 2010: 9:1-9:6 - [c17]Vikram Goyal, Ashish Sureka, Sangeeta Lal:
AccKW: An Efficient Access Control Scheme for Keyword-Based Search over RDBMS. DNIS 2010: 107-121
2000 – 2009
- 2009
- [c16]Ashish Sureka, Pranav Prabhakar Mirajkar, Prasanna Nagesh Teli, Girish Agarwal, Sumit Kumar Bose:
Semantic Based Text Classification of Patent Documents to a User-Defined Taxonomy. ADMA 2009: 644-651 - [c15]Ashish Sureka, Pranav Prabhakar Mirajkar, Kishore Varma Indukuri:
A rapid application development framework for rule-based named-entity extraction. Bangalore Compute Conf. 2009: 25 - [c14]Pranav Prabhakar Mirajkar, Prasanna Nagesh Teli, Ashish Sureka:
Automatic Index Generation of Technical Articles Using a Combination of Heuristics, Linguistic and Statistical Approach. IICAI 2009: 2040-2054 - [c13]Kishore Varma Indukuri, Ashish Sureka, Aadil Ehsan Akhter, Pratibha Parthasarathy:
Table Extraction from PDF Files using combination of Heuristics and Machine Learning Techniques. IICAI 2009: 2170-2182 - [c12]Ashish Sureka, Vikram Goyal, Denzil Correa, Anirban Mondal:
Polarity Classification of Subjective Words Using Common-Sense Knowledge-Base. RSFDGrC 2009: 486-493 - 2008
- [c11]Ashish Sureka, Kishore Varma Indukuri:
Using Genetic Algorithms for Parameter Optimization in Building Predictive Data Mining Models. ADMA 2008: 260-271 - [c10]Ashish Sureka, Sudripto De, Kishore Varma Indukuri:
A generic software architecture of a text processing system for analyzing product warranty claims data. Bangalore Compute Conf. 2008: 21 - [c9]Ashish Sureka, Sudripto De, Kishore Varma Indukuri:
Mining Automotive Warranty Claims Data for Effective Root Cause Analysis. DASFAA 2008: 621-626 - [c8]Ashish Sureka, Pranav Prabhakar Mirajkar:
An Empirical Study on the Effect of Different Similarity Measures on User-Based Collaborative Filtering Algorithms. PRICAI 2008: 1065-1070 - [c7]Kishore Varma Indukuri, Pranav Prabhakar Mirajkar, Ashish Sureka:
An Algorithm for Classifying Articles and Patent Documents Using Link Structure. WAIM 2008: 203-210 - 2005
- [c6]Ashish Sureka, Peter R. Wurman:
Using tabu best-response search to find pure strategy nash equilibria in normal form games. AAMAS 2005: 1023-1029 - [c5]Ashish Sureka, Peter R. Wurman:
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions. GECCO 2005: 2097-2103 - 2003
- [c4]Peter R. Wurman, Gangshu Cai, Jie Zhong, Ashish Sureka:
An algorithm for computing the outcome of combinatorial auctions with proxy bidding. ICEC 2003: 1-8 - [c3]Peter R. Wurman, Gangshu Cai, Ashish Sureka:
Computing the outcome of proxy bidding in combinatorial auctions extended abstract. EC 2003: 242-243 - 2002
- [c2]Harshit S. Shah, Neeraj R. Joshi, Ashish Sureka, Peter R. Wurman:
Mining eBay: Bidding Strategies and Shill Detection. WEBKDD 2002: 17-34 - [c1]Ashish Sureka, Peter R. Wurman:
Applying the Generalized Vickrey Auction to Pricing Reliable Multicasts. QofIS 2002: 283-292
Coauthor Index
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