Sangeeta Lal, Neetu Sardana and Ashish Sureka, Logging Analysis and Prediction in Open Source Java Project,
Published as a Book Chapter [Chapter 3] in the Book Titled Optimizing Contemporary Application and Processes in Open Source Software.
(ISBN-13: 978-1522553144, ISBN-10: 1522553142) Publisher: IGI Global (2018)
@incollection{Lal2018Book2,
title={Logging analysis and prediction in open source java project},
author={Lal, Sangeeta and Sardana, Neetu and Sureka, Ashish},
booktitle={Optimizing Contemporary Application and Processes in Open Source Software},
pages={57--85},
year={2018},
publisher={IGI Global}
}
Sangeeta lal, Ritu Rani, and Ajmer Singh, Fused Deep Learning for Distributed Denial of Service Attack Detection In IoT, [Chapter 15]
in the Book Titled Applications of Artificial Intelligence, Big Data, and Internet of Things (IoT) in Sustainable Development, 2022
Journal Publications
Gopika Syam, Sangeeta Lal and Tao Chen, "Empirical Study of the Evolution of Python Questions on Stack Overflow” In e-Informatica Software Engineering Journal, vol. 17, no. 1, pp. 230107, 2023. DOI: 10.37190/e-Inf230107.
@article{eInformatica2023Art07,
author = {Gopika Syam and Sangeeta Lal and Tao Chen },
title = {Empirical Study of the Evolution of {P}ython Questions on {S}tack {O}verflow},
doi = {10.37190/e-Inf230107},
year = {2023},
volume = {17},
number = {1},
keywords = {Python programming, Software Development, Stack Overflow, Topic Modelling},
journal = {e-Informatica Software Engineering Journal},
url = {https://www.e-informatyka.pl/index.php/einformatica/volumes/volume-2023/issue-1/article-7/},
abstract = { \textbf {Background:} Python is a popular and easy-to-use programming language. It is constantly expanding, with new features and libraries being introduced daily for a broad range of applications. This dynamic expansion needs a robust support structure for developers to effectively utilise the language. \\\textbf {Aim:} In this study we conduct an in-depth analysis focusing on several research topics to understand the theme of Python questions and identify the challenges that developers encounter, using the questions posted on Stack Overflow. \\\textbf {Method:}We perform a quantitative and qualitative analysis of Python questions in Stack Overflow. Topic Modelling is also used to determine the most popular and difficult topics among developers. \\\textbf {Results:} The findings of this study revealed a recent surge in questions about scientific computing libraries pandas and TensorFlow. Also, we observed that the discussion of Data Structures and Formats is more popular in the Python community, whereas areas such as Installation, Deployment, and IDE are still challenging. \\\textbf {Conclusion:} This study can direct the research and development community to put more emphasis on tackling the actual issues that Python programmers are facing. },
note = {Available online: 4 Jul. 2023},
month = jul,
pages = {230107}
}
}
S. Lal, and R. Mourya, “For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science, ” Societies, Mdpi, 12(4), 116.
@article{lal2022cs,
title={For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science},
author={Lal, Sangeeta and Mourya, Rahul},
journal={Societies},
volume={12},
number={4},
pages={116},
year={2022},
publisher={MDPI}
}
H. Gujral, S. Lal, and H. Li, “An Exploratory Semantic Analysis of Logging Questions,” Journal of Software: Evolution and Process, pp. to appear, 2021.
@article{Gujral2021LoggingQuestions,
title = {An Exploratory Semantic Analysis of Logging Questions},
author = {Gujral, Harshit and Lal, Sangeeta and Li, Heng},
journal = {Journal of Software: Evolution and Process},
volume = {},
number = {},
pages = {to appear},
year = {2021},
doi = {10.1002/smr.2361},
publisher = {Wiley}
}
Lov Kumar, Sangeeta Lal, and N. L. Bhanu Murthy, on "Estimation of Maintainability Parameters for
Object-Oriented Software using Hybrid Neural Network and Class Level" accepted at International Journal of System Assurance
Engineering and Management, 2019. (Scopus)
@article{kumar2019estimation,
title={Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics},
author={Kumar, Lov and Lal, Sangeeta and Murthy, Lalita Bhanu},
journal={International Journal of System Assurance Engineering and Management},
volume={10},
number={5},
pages={1234--1264},
year={2019},
publisher={Springer}
}
Sangeeta Lal, Lipika Tiwari, Ravi Ranjan, Ayushi Verma, Neetu Sardana, Rahul Mourya,
Analysis and Classification of Crime Tweets, procedia computer science, 2019. ISSN: 1877-0509 (Scopus)
@article{lal2020analysis,
title={Analysis and classification of crime tweets},
author={Lal, Sangeeta and Tiwari, Lipika and Ranjan, Ravi and Verma, Ayushi and Sardana, Neetu and Mourya, Rahul},
journal={Procedia Computer Science},
volume={167},
pages={1911--1919},
year={2020},
publisher={Elsevier}
}
Ayushi Verma, Neetu Sardana, Sangeeta Lal , Developer Recommendation for Stack Exchange Software Engineering Q&A Website based on K-Means
clustering and Developer Social Network Metric, Procedia Computer Science, 2019. ISSN: 1877-0509(Scopus)
@article{verma2020developer,
title={Developer Recommendation for Stack Exchange Software Engineering Q\&A Website based on K-Means clustering and Developer Social Network Metric},
author={Verma, Ayushi and Sardana, Neetu and Lal, Sangeeta},
journal={Procedia Computer Science},
volume={167},
pages={1665--1674},
year={2020},
publisher={Elsevier}
}
Harshit Gujral, Abhinav Sharma, Sangeeta Lal and Lov Kumar, "A Three Dimensional Empirical Study of Logging
Questions From Six Popular Q&A Websites", In e-Informatica Software Engineering Journal,
vol. 13, no. 1, pp. 105–139, 2019. DOI: 10.5277/e-Inf190104. (Scopus, WoS)
@article{gujral2019three,
title={A Three Dimensional Empirical Study of Logging Questions from Six Popular Q \& A Websites},
author={Gujral, Harshit and Sharma, Abhinav and Lal, Sangeeta and Kumar, Lov},
journal={e-Informatica Software Engineering Journal},
volume={13},
number={1},
year={2019}
}
Shivani Bahri, Pranav Bahri, and Sangeeta Lal, A Novel approach of Sentiment Classification using Emoticons,
Procedia Computer Science-2018, Vol. 132, 669-678. (ISSN: 1877-0509) (Scopus)
@article{bahri2018novel,
title={A novel approach of sentiment classification using emoticons},
author={Bahri, Shivani and Bahri, Pranav and Lal, Sangeeta},
journal={Procedia computer science},
volume={132},
pages={669--678},
year={2018},
publisher={Elsevier}
}
Sangeeta Lal, Neetu Sardana and Ashish Sureka, Three-Level Learning for Improving Cross-Project Logging Prediction for If-Blocks,
Journal of King Saud University - Computer and Information Sciences, 2017 . (ISSN: 1319-1578)(Scopus)
@article{lal2019three,
title={Three-level learning for improving cross-project logging prediction for if-blocks},
author={Lal, Sangeeta and Sardana, Neetu and Sureka, Ashish},
journal={Journal of King Saud University-Computer and Information Sciences},
volume={31},
number={4},
pages={481--496},
year={2019},
publisher={Elsevier}
}
Sangeeta Lal, Neetu Sardana, and Ashish Sureka, ECLogger: Cross-Project Catch-Block Logging Prediction Using Ensemble
of Classifiers, In e-Informatica Software Engineering Journal, volume 11, 2017, pp. 9-40. ISSN: 1897-7979 . (Scopus, WoS)
@article{lal2017eclogger,
title={ECLogger: Cross-project catch-block logging prediction using ensemble of classifiers},
author={Lal, Sangeeta and Sardana, Neetu and Sureka, Ashish},
journal={e-Informatica Software Engineering Journal},
volume={11},
number={1},
year={2017}
}
Sangeeta Lal, Neetu Sardana, and Ashish Sureka, Improving Logging Prediction on Imbalanced Datasets: A Case Study on Open Source Java Projects, International Journal of Open Source Software and Processes archive, Volume 7
Issue 2, January 2016, Pages 43-71. (ISSN: 1942-3926) (Scopus)
@incollection{lal2020improving,
title={Improving logging prediction on imbalanced datasets: A case study on open source java projects},
author={Lal, Sangeeta and Sardana, Neetu and Sureka, Ashish},
booktitle={Cognitive Analytics: Concepts, Methodologies, Tools, and Applications},
pages={740--772},
year={2020},
publisher={IGI Global}
}
Sangeeta Lal , Neetu Sardana, and Ashish Sureka, Two Level Empirical Study of Logging Statements in Open Source Java Projects, International Journal of Open Source Software and Processes archive,
Volume 6 Issue 1, January 2015, Pages 49-73. (ISSN: 1942-3926) (Scopus)
@article{lal2015two,
title={Two level empirical study of logging statements in open source Java projects},
author={Lal, Sangeeta and Sardana, Neetu and Sureka, Ashish},
journal={International Journal of Open Source Software and Processes (IJOSSP)},
volume={6},
number={1},
pages={49--73},
year={2015},
publisher={IGI Global}
}
Conference Publications
Apurva Aggarwal, Ajay Kumar Kushwaha, Somil Rastogi, Sangeeta Lal , Sarishty Gupta , Characterization and Prediction of Various Issue Types:A Case Study
on the Apache Lucene System, 4th International Conference Of Innovative Computing and Communications (ICICC-2021), organised by Saheed Sukhdev College of Business Studies,
University of Delhi, In association with University of Valladolid Spain and Nation Institue of Technology Patna, 20-21st Feburary, 2021 , http://icicc-conf.com/
de Quincey, E., Jooganah, K., Sangeeta, S., Gardner, A. (2021) Widening access and supporting student success on MSc AI and Data Science conversion courses.
Advance HE STEM Conference 2021: Rethinking STEM Higher Education (selected for oral presentataion).
Pranav Sachdeva, Rhythm Gupta, Sankalp Biswal, Arjun Goyal, Sangeeta Lal* and Amanpreet Kaur, Using Machine Learning and Deep Learning to
Detect Diabetic Retinopathy, publoshed at Invertis Journal of Science & Technology Vol. 13, No. 3, July-September 2020, pp- 153-158
Amanpreet Kaur, Niyati Aggrawal, Sangeeta Lal An accurate localization in Wireless Sensor networks at 6th International Conference on Signal
Processing and Communication (ICSC-2020), 5th-6th March, Jaypee Institute of Information Technolocy (JIIT)
Sangeeta Lal, et al. SentEmojis: Sentiment Classification Using Emojis at First International Conference on International Conference on Information Management
& Machine Intelligence (ICIMMI-2019) at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India on December 14-15, 2019.
Link: https://link.springer.com/chapter/10.1007/978-981-15-4936-6_33#citeas
Sangeeta Lal, Rishabh Jiaswal, Neetu Sardana, Ayushi Verma, Amanpreet Kaur, Rahul Mourya, ORFDetector: Ensemble Learning Based Online Recruitment
Fraud Detection, in 12th IEEE 11th International Conference on Contemporary Computing (IC3 2018) (Accepted, In press).
Sonam Sonam, Ayushi Verma, Sangeeta Lal, Neetu Sardana, TagStack: Automated System for Predicting Tags in StackOverflow,
ICSC 2019, JIIT Noida . (Accepted, In Press)
Ayushi Verma, Neetu Sardana, and Sangeeta Lal, Comprehensive analysis of trends in software engineering, in 9th International Conference,
Confluence 2019 held on 10th - 11th January, 2019 at Amity University Uttar Pradesh, Noida, (Accepted, In Press).
Lov Kumar, Sangeeta Lal, Anjali Goyal, and Lalita Bhanu Murthy Neti, “Change-Proneness of Object -Oriented Software using Using Combination of
Feature Selection Techniques and Ensemble Learning Techniques ”,12th Innovations in Software Engineering Conference (ISEC 2019), pp.1-11, Pune, India ( Scopus)
Amanpreet Kaur, Padam Kumar, Govid P. Gupta, Sangeeta Lal, Application of Soft Computing on Localization in Wireless Sensor Networks at
IEEE 11th International Conference on Contemporary Computing (IC3 2018), pp. 1-5, 2-4 August, Jaypee Institute of Information Technology, Noida, U.P. (Scopus)
Harshit Gujral, Abhinav Sharma, Sangeeta Lal, Empirical analysis of Q&A websites and a sustainable solution to ensure water-security at IEEE 11th International
Conference on Contemporary Computing (IC3 2018), pp. 1-7, 2-4 August, Jaypee Institute of Information Technology, Noida, U.P. ( Scopus)
Harshit Gujral, Abhinav Sharma, Sangeeta Lal, Amanpreet Kaur, Lov Kumar, Ashish Sureka, Empirical Analysis of the Logging Questions on the StackOverflow Website,
in First Conference On Software Engineering & Data Sciences (CoSEDS), Department of Computer Science, North Campus, University of Kashmir, Srinagar ,20-21 June, 2018.
Jyoti Gupt and Sangeeta Lal, Comparison of Some Approximate Algorithms Proposed for Traveling Salesmen and Graph Partitioning Problems (April 20, 2018).
Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology,
Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3166504 or http://dx.doi.org/10.2139/ssrn.3166504
Sangeeta Lal, Neetu Sardana and Ashish Sureka, Analysis and Prediction of Log Statement in Open Source Java Projects, Proceedings of the Doctoral
Consortium at the 13th International Conference on Open Source Systems (OSS 2017), pp. 65-80, Skövde University Studies in Informatics 2017:1,
ISSN 1653-2325, ISBN 978-91-983667-1-6, University of Skövde, Skövde, Sweden (Link: http://his.diva-portal.org/smash/get/diva2:1112753/FULLTEXT01.pdf )
Denzil Correa, Sangeeta Lal and Ashish Sureka, Investigation of IR based Topic Models on Issue Tracking Systems to Infer Software-Specific
Semantic Related Term Pairs, IEEE Tenth International Conference on Contemporary Computing (IC3 2017), pp.1-4, 10th-12th August,
Jaypee Institute of Information Technology, Noida, U.P. ( Scopus)
Srishti Saini, Neetu Sardana, and Sangeeta Lal, Logger4U: Predicting Debugging Statements in the Source Code, 9th International Conference on
Contemporary Computing (IC3), Aug-2016, Noida, India, PP. 1-7, IEEE. (Electronic ISBN:978-1-5090-3251-8, CD-ROM ISBN: 978-1-5090-3249-5,
Print on Demand (PoD) ISBN: 978-1-5090-3252-5). ( Scopus)
Sangeeta Lal and Ashish Sureka, LogOpt: Static Feature Extraction from Source Code for Automated Catch Block Logging Prediction, 9th India
Software Engineering Conference (ISEC 2016), 18-20 Feb, Goa, India, 151-155, ACM. (ISBN: 978-1-4503-4018-2)
Sangeeta Lal , Neetu Sardana, and Ashish Sureka, LogOptPlus: Learning to Optimize Logging in Catch and If Programming Constructs,The 40th
IEEE Computer Society International Conference on Computers, Software & Applications , COMPSAC-2016, 10-14 June 2016, USA, 215-220 (ISSN: 0730-3157), IEEE ( Scopus)
S. Aneja and Sangeeta Lal, Effective Asthma Disease Prediction Using Naive Bayes - Neural Network fusion technique, International Conference on Parallel,
Distributed and Grid Computing (PDGC-2014), 11-13 Dec 2014, Solan India,137-140, IEEE. (Electronic ISBN: 978-1-4799-7683-6, Print ISBN: 978-1-4799-7682-9,
CD-ROM ISBN: 978-1-4799-7681-2, Print on Demand(PoD) ISBN: 978-1-4799-7684-3)
Sangeeta Lal, D. Correa, A. Sureka, Migrated Questions Prediction on StackExchange Sites,21st Asia Pacific Software Engineering Conference (APSEC) 2014,
Short Paper, Volume 2, pp. 35-38. IEEE. (ISSN: 1530-1362)
D. Correa, Sangeeta Lal, A. Saini, A. Sureka, Samekana: A Browser Extension for Including Relevant Web Links in Issue Tracking System Discussion Forum,
20th Asia-Pacific Software Engineering Conference (APSEC) 2013,volume 1, pp. 25-33. IEEE (ISSN:1530-1362) , Electronic ISBN: 978-1-4799-2144-7 ,
CD-ROM ISBN: 978-1-4799-2143-0 , Print on Demand(PoD) ISBN: 978-1-4799-2145-4 (pdf).
Sangeeta Lal and A. Sureka, Comparison of Seven Bug Report Types: A Case-Study of Google Chrome Browser Project, 19th Asia-Pacific Software
Engineering Conference, (APSEC), 2012, Hong-kong, China,Volume (1), pp. 517--526. IEEE Computer Socitey. (ISBN: 978-0-7695-4922-4) (pdf).
Sangeeta Lal and A. Sureka, A Static Technique for Bug Localization Using Character N-Gram Based Information Retrieval Model ,
The Fifth Indian Software Engineering Conference (ISEC), 2012, Kanpur, India, pp. 109-118. ACM. (ISBN:978-1-4503-1142-7) (pdf).
A. Sureka, Sangeeta Lal and L. Agarwal, Applying Fellegi-Sunter (FS) Model for Traceability Link Recovery Between Bug Databases and
Version Archives, The Eighteenth Asia-Pacific Software Engineering Conference (APSEC ), 5-8th Dec, 2011, Ho Chi Minh, Vietnam, PP. 146-153.
IEEE. (ISSN: 1530-1362). (pdf).
P. Singh, A. Singh, V. Naik, and Sangeeta Lal, CVDMagic: A Mobile Based Study for CVD Risk Detection in Rural India. Accepted (poster) at International
conference on information and communication technologies and development (ICTD2012), Atlanta, Georgia on March 12-15, 2012, pp. 359--366. ACM.
(ISBN: 978-1-4503-1045-1) (pdf).
A. Singh, V. Naik and Sangeeta Lal, R. Sengupta, D. Saxena, P. Singh, A. Puri, .Improving the Efficiency of Healthcare Delivery System in
Underdeveloped Rural Areas, NetHealth Workshop collocated with Third International Conference on Communication Systems and Networks, (COMSNETS),Bangalore,
India, 4-8th Jan, 2011,pp. 1-6. IEEE. (ISSN:2155-2487) (pdf).
V. Goyal, A. Sureka and Sangeeta Lal, AccKW: An Efficient Access Control Scheme for Keyword-Based Search over RDBMS, Databases in Networked
Information Systems, (DNIS), Aizu-Wakamatsu, Japan, March 29-31, 2010, pp. 107-121. Springer Berlin Heidelberg. (ISBN: 978-3-642-12038-1). (pdf).
S. Ojha, N. Kumar, K. Jain and Sangeeta Lal, TWIS - A Lightweight Block Cipher,Fifth International Conference on Information Systems Security (ICISS) 2009 ,
Kolkata, India, pp. 280-291. Springer-Verlag. (ISBN: 978-3-642-10771-9)(web).
S. Ojha, N. Kumar, K. Jain, Sangeeta Lal, BEAN: a lightweight stream cipher, International Conference on Security of Information and Networks,
(SIN), 2009, Famagusta, North Cyprus, pp. 168-171. ACM. (ISBN: 978-1-60558-412-6) (pdf).
