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Supporting Online Material for ICSE2021

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Figshare2022-02-02 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Supporting_Online_Material_for_ICSE2021/12840053/1
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资源简介:
This is supporting online material for the submission <br>``Supporting Quality Assurance with Automated Process-Centric Quality Constraints Checking''<br><br>Contains:<br>- Neo4J database containing the Jira issues and changes from the Dronology data set (all names of involved users have been anonymized in the issues and change events)<br>- Process definitions and constraints for Dronology (a set of Drools .drl files in ProcessConstraints.zip) - java package names have been obfuscated to adhere to doubleblind requirements. DRL files are informative only, as due to double-blind requirements, we cannot provide the source code at this stage. We will make it available publicly via Github upon paper publication.<br>- jupyter notebook analysing the output from evaluation runs (Evaluation.ipynb)<br>- Raw data from the evaluation runs ( .csv files zipped in PerProcessedAndPerConstraintsCSVfiles.zip)<br><br>Due to confidentiality agreements, we cannot provide any data from the industrial case study.<br><br>To install the Neo4J database:<br>1) Prepare an empty Neo4J database (version 3.5.15) e.g., useing Neo4J Desktop<br>2) Extract the databases.zip file<br>3) Copy the graph.db folder and store_lock file into the databases folder of your neo4j database<br>4) Start the neo4j database, the password is: dronology
提供机构:
Mayr-Dorn, Christoph
创建时间:
2021-02-09
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