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WOSP-C 2022 : Workshop on Challenges in Performance Methods for Software Development - WOSP-C 2022

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Link: https://wosp-c.github.io/wosp-c-22/
 
When Apr 9, 2022 - Apr 10, 2022
Where Virtual
Submission Deadline Jan 25, 2022
Notification Due Feb 15, 2022
Final Version Due Feb 24, 2022
Categories    performance engineering   computer science   performance   software engineering
 

Call For Papers

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The Seventh Workshop on Challenges in Performance Methods for Software
Development
WOSP-C 2022
CALL FOR PAPERS

https://wosp-c.github.io/wosp-c-22/

Held in conjunction with ICPE, April 9 or 10, 2022, Beijing, China
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- Aim and scope

WOSP-C provides a forum for the discussion of emerging or unaddressed challenges
in software and performance, including challenges in developing software to be performant,
concurrent programming issues, performance and architecture, performance measurement,
cloud performance, and testing. Its purpose was to open up new avenues of research on
methods for software developers to address performance challenges.
The software world is changing, and there are new challenges.
The workshop welcomes contributions that discuss and/or address emerging performance problems
and challenges that arise anywhere across the life cycle, from requirements to design,
testing and evolution of the product.

In this seventh edition, we emphasize contributions on software performance challenges in
Empirical Software Performance Engineering. Recently, empirical techniques have been applied to
find and solve performance problems. Therefore, empirical investigation of performance issues may
raise new performance challenges in many phases of the software life cycle, such as monitoring,
and performance testing.

Contributions are welcome in any of the following areas, as well as on related topics:

- Performance challenges in Empirical Software Engineering
- Software performance challenges in Machine Learning
- Machine Learning challenges to Software Performance Engineering
- Software performance challenges in Cyber-Physical Systems (CPS) and digitalization
processes (e.g., performance challenges in Digital Twins)
- Open source challenges to performance
- Performance challenges in Model-Driven Engineering
- Performance challenges in DevOps
- Modeling the performance of systems and components under development
- Non-intrusive measurement of resource usage and performance on a large scale
- Building workload models from analytics
- Workload measurement for load generation
- Automated generation of performance requirements and modeling parameters
- Inference about performance and concurrency in cloud-based, physically
based, and distributed systems
- Dealing with uncertainty in performance engineering

- Important dates

Paper submission: January 25, 2022
Author's notifications: February 15, 2022
Camera-ready submission: February 24, 2022

-Paper submission instructions

Authors are invited to submit original, unpublished papers that are not
being considered in another forum. Papers should be in ACM format. They should describe
research results, experience, visions or new initiatives, and not exceed 8 pages in
length. They should be submitted via Easychair at https://easychair.org/conferences/?conf=wospc2022.
ACM templates may be found here (http://www.acm.org/publications/proceedings-template).
Presented papers will be published in the ICPE 2022 conference proceedings that will be
published by ACM and included in the ACM Digital Library. Authors are required to adhere
to the ACM Policy and Procedures on Plagiarism as well as to the ACM Policy on Prior
Publication and Simultaneous Submissions.
Concurrent submission of the same work to ICPE 2022 and to WOSP-C
or any other ICPE 2022 workshop is not permitted.


- Program Committee:

- Michele Tucci, Charles University
- José Merseguer, Universidad de Zaragoza
- Vincenzo Grassi, University of Roma "Tor Vergata"
- Murray Woodside, Carleton University
- André van Hoorn, University of Hamburg
- Diego Perez-Palacin, Linnaeus University
- Alberto Avritzer, eSulabSolutions
- Andre Bondi, Software Performance and Scalability Consulting LLC
- Mauro Caporuscio, Linnaeus University
- Steffen Becker, University of Stuttgart
- Connie U. Smith, Performance Engineering Services


- Organizing Committee:

- Catalina M. Lladó, Universitat Illes Balears, Spain
- Daniele Di Pompeo, University of L'Aquila

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