Wed 6 Dec 2023 12:00 - 12:15 at Golden Gate C2 - Software Evolution II Chair(s): Csaba Nagy

Information Technology has become a critical component in various industries, leading to an increased focus on software maintenance and monitoring. With the complexities of modern software systems, traditional maintenance approaches have become insufficient. The concept of AIOps has emerged to enhance predictive maintenance using Big Data and Machine Learning capabilities. However, exploiting AIOps requires addressing several challenges related to the complexity of data and incident management. Commercial solutions exist, but they may not be suitable for certain companies due to high costs, data governance issues, and limitations in covering private software. This paper investigates the feasibility of implementing on-premise AIOps solutions by leveraging open-source tools. We introduce a comprehensive AIOps infrastructure that we have successfully deployed in our company, and we provide the rationale behind different choices that we made to build its various components. Particularly, we provide insights into our approach and criteria for selecting a data management system and we explain its integration. Our experience can be beneficial for companies seeking to internally manage their software maintenance processes with a modern AIOps approach.

Wed 6 Dec

Displayed time zone: Pacific Time (US & Canada) change

11:00 - 12:30
Software Evolution IIIndustry Papers / Research Papers / Journal First at Golden Gate C2
Chair(s): Csaba Nagy Software Institute - USI, Lugano
11:00
15m
Talk
Multilingual Code Co-Evolution Using Large Language Models
Research Papers
Jiyang Zhang University of Texas at Austin, Pengyu Nie University of Waterloo, Junyi Jessy Li University of Texas at Austin, USA, Milos Gligoric University of Texas at Austin
Media Attached
11:15
15m
Talk
A Characterization Study of Merge Conflicts in Java Projects
Journal First
Bowen Shen Virginia Tech, Muhammad Ali Gulzar Virginia Tech, USA, Fei He Tsinghua University, Na Meng Virginia Tech
Media Attached
11:30
15m
Talk
Modeling the Centrality of Developer Output with Software Supply Chains
Industry Papers
Audris Mockus The University of Tennessee, Peter C. Rigby Meta; Concordia University, Rui Abreu Meta, Parth Suresh Meta Platforms, Inc., Yifen Chen Meta Inc, Nachiappan Nagappan Meta
DOI Pre-print Media Attached
11:45
15m
Talk
Knowledge-based Version Incompatibility Detection for Deep Learning
Research Papers
Zhongkai Zhao Tongji University, Bonan Kou Purdue University, Mohamed Yilmaz Ibrahim Purdue University, Muhao Chen University of Southern California, Tianyi Zhang Purdue University
Media Attached
12:00
15m
Talk
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report
Industry Papers
Anes Bendimerad Infologic, Youcef REMIL INSA Lyon, INFOLOGIC, Romain Mathonat Infologic, Mehdi Kaytoue Infologic
DOI Media Attached