Search Results - Software Engineering Process Data Analysis

Applying Fellegi-Sunter (FS) Model for Traceability Link Recovery between Bug Databases and Version Archives by Sureka, A., Lal, S., Agarwal, L.

“… The lack of explicit links between these two databases has been identified as a serious process data quality issue…”
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Decision Analysis Data Model for Digital Engineering Decision Management by Parnell, Gregory S., Kenley, C. Robert, Clark, Devon, Smith, Jared, Salvatore, Frank, Nwobodo, Chiemeke, Davis, Sheena

“… This paper describes a Decision Analysis Data Model (DADM) developed in model-based systems engineering software to provide the process, methods, models, and data to support decision management…”
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A systematic literature review to explore traceability and lifecycle relationship by Corallo, Angelo, Latino, Maria Elena, Menegoli, Marta, Pontrandolfo, Pierpaolo

“… Even though regulations establish the information that has to be traced, each player generates much more product (and process…”
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An exploratory study into the use of qualitative research methods in descriptive process modelling by Carvalho, Lucila, Scott, Louise, Jeffery, Ross

“…The paper describes an exploratory study that investigated two descriptive software process models derived from the same process data using two different techniques…”
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Datalog-Based Language-Agnostic Change Impact Analysis for Microservices by Shi, Qingkai, Xie, Xiaoheng, Fu, Xianjin, Di, Peng, Li, Huawei, Zhou, Ang, Fan, Gang

“…The shift-left principle in the industry requires us to test a software application as early as possible…”
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The Illusory Diffusion of Innovation: An Examination of Assimilation Gaps by Fichman, Robert G, Kemerer, Chris F

“… When this happens, the observed pattern of cumulative adoptions will vary depending on which event in the assimilation process (i.e…”
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CAT-LM Training Language Models on Aligned Code And Tests by Rao, Nikitha, Jain, Kush, Alon, Uri, Goues, Claire Le, Hellendoorn, Vincent J.

“…Testing is an integral but often neglected part of the software development process…”
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Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis by Ji, Zhenlan, Ma, Pingchuan, Wang, Shuai

“…Debugging performance anomalies in databases is challenging. Causal inference techniques enable qualitative and quantitative root cause analysis of performance downgrades…”
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Knowledge-Enhanced Program Repair for Data Science Code by Ouyang, Shuyin, Zhang, Jie M., Sun, Zeyu, Penuela, Albert Merono

“…This paper introduces DSrepair, a knowledge-enhanced program repair approach designed to repair the buggy code generated by LLMs in the data science domain…”
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Assurance Case Development as Data: A Manifesto by Menghi, Claudio, Viger, Torin, Di Sandro, Alessio, Rees, Chris, Joyce, Jeff, Chechik, Marsha

“… We argue that engineers produce a lot of data during the assurance case development process, and such data can be collected and used to effectively improve this process…”
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Visual Drift Detection for Event Sequence Data of Business Processes by Yeshchenko, Anton, Di Ciccio, Claudio, Mendling, Jan, Polyvyanyy, Artem

“…Event sequence data is increasingly available in various application domains, such as business process management, software engineering, or medical pathways…”
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DCLINK: Bridging Data Constraint Changes and Implementations in FinTech Systems by Tange, Wensheng, Wang, Chengpeng, Yao, Peisen, Wu, Rongxin, Fu, Xianjin, Fan, Gang, Zhang, Charles

“…A FinTech system is a cluster of FinTech applications that intensively interact with databases containing a large quantity of user data…”
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FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software by Yu, Normen, Carreon, Luciana, Tan, Gang, Tizpaz-Niari, Saeid

“…Data-driven software solutions have significantly been used in critical domains with significant socio-economic, legal, and ethical implications…”
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Mutation-based Fault Localization of Deep Neural Networks by Ghanbari, Ali, Thomas, Deepak-George, Arshad, Muhammad Arbab, Rajan, Hridesh

“… A significant uptick in using DNN, and its applications in wide-ranging areas, including safety-critical systems, warrant extensive research on software engineering tools for improving…”
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Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning by Manke, Ruchira, Wardat, Mohammad, Khomh, Foutse, Rajan, Hridesh

“…While deep learning (DL) has permeated, and become an integral component of many critical software systems, today software engineering research hasn't explored how to separately test data and models that are integral for DL…”
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Log Parsing: How Far Can ChatGPT Go? by Le, Van-Hoang, Zhang, Hongyu

“… In recent studies, ChatGPT, the current cutting-edge large language model (LLM), has been widely applied to a wide range of software engineering tasks…”
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SMT Solver Validation Empowered by Large Pre-Trained Language Models by Sun, Maolin, Yang, Yibiao, Wang, Yang, Wen, Ming, Jia, Haoxiang, Zhou, Yuming

“…SMT solvers are utilized to check the satisfiability of logic formulas and have been applied in various crucial domains, including software verification, test case generation, and program synthesis…”
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Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair by Li, Guochang, Zhi, Chen, Chen, Jialiang, Han, Junxiao, Deng, Shuiguang

“… Comparing to FMFT, PEFT can reduce computing resource consumption without compromising performance and has been widely adopted to other software engineering…”
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Towards Realistic, Applicable and Feasible Configuration-Aware Performance Modeling by Xia, Yuanjie

“…In modern software systems, configurability has become essential for optimizing performance across varying scenarios and user demands…”
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PerfCI: A Toolchain for Automated Performance Testing during Continuous Integration of Python Projects by Javed, Omar, Dawes, Joshua Heneage, Han, Marta, Franzoni, Giovanni, Pfeiffer, Andreas, Reger, Giles, Binder, Walter

“…Software performance testing is an essential quality assurance mechanism that can identify optimization opportunities…”
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