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Assisting Software Designers to Identify and Solve Performance Problems

Authors:

Davide Arcelli,

Vittorio CortellessaAuthors Info & Claims

FoSADA '15: Proceedings of the 1st International Workshop on Future of Software Architecture Design Assistants

Pages 1 - 6

https://doi.org/10.1145/2751491.2751493

Published: 06 May 2015 Publication History

Abstract

In order to deal with performance of software systems, it is important to introduce approaches and tools that work in the early phases of the software life-cycle, even before the code is developed. In fact, if performance requirement violations are discovered too late, then there may be significant impacts on project costs. Some work has been done in the last few years to tackle the problem of automatically interpreting model-based performance analysis results and translating them into feedback for software designers. However, this effort is still far from providing tools that can actually assist designers to identify and solve performance problems. In this paper, we present a framework aimed at supporting automated feedback generation from software performance analysis results, based on Model-Driven Engineering principles and techniques. In particular, we focus on the level of automation that such framework introduces, and we provide a vision of a design assistant that implements it.

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Cited By

Akdur DSay BDemirörs O(2020)Modeling cultures of the embedded software industry: feedback from the fieldSoftware and Systems Modeling10.1007/s10270-020-00810-9Online publication date: 25-Jun-2020
https://doi.org/10.1007/s10270-020-00810-9
Iqbal JUl Haq S(2017)Automatic Feedback Generation in Software Performance Engineering: A ReviewOriental journal of computer science and technology10.13005/ojcst/10.02.0810:2(305-310)Online publication date: 6-Apr-2017
https://doi.org/10.13005/ojcst/10.02.08
Altamimi TZargari MPetriu DMindel MMüller HOnut V(2016)Performance analysis roundtripProceedings of the 26th Annual International Conference on Computer Science and Software Engineering10.5555/3049877.3049899(208-217)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.5555/3049877.3049899
Show More Cited By

Index Terms

Assisting Software Designers to Identify and Solve Performance Problems
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
2. General and reference
  1. Cross-computing tools and techniques
    1. Performance

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Information & Contributors

Information

Published In

cover image ACM Conferences

FoSADA '15: Proceedings of the 1st International Workshop on Future of Software Architecture Design Assistants

May 2015

34 pages

ISBN:9781450334389

DOI:10.1145/2751491

General Chair:
Philippe Kruchten
University of British Columbia, Canada
,
Program Chairs:
Roger Champagne
ÉTS, Canada
,
Anne Koziolek
Karlsruhe Institute of Technology, Germany

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS\DATC: IEEE Computer Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2015

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CompArch '15

Sponsor:

SIGSOFT
IEEE-CS\DATC

CompArch '15: Federated Events on Component-Based Software Engineering and Software Architecture

May 6, 2015

QC, Montréal, Canada

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FoSADA '15 Paper Acceptance Rate 4 of 4 submissions, 100%;

Overall Acceptance Rate 4 of 4 submissions, 100%

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Cited By

Akdur DSay BDemirörs O(2020)Modeling cultures of the embedded software industry: feedback from the fieldSoftware and Systems Modeling10.1007/s10270-020-00810-9Online publication date: 25-Jun-2020
https://doi.org/10.1007/s10270-020-00810-9
Iqbal JUl Haq S(2017)Automatic Feedback Generation in Software Performance Engineering: A ReviewOriental journal of computer science and technology10.13005/ojcst/10.02.0810:2(305-310)Online publication date: 6-Apr-2017
https://doi.org/10.13005/ojcst/10.02.08
Altamimi TZargari MPetriu DMindel MMüller HOnut V(2016)Performance analysis roundtripProceedings of the 26th Annual International Conference on Computer Science and Software Engineering10.5555/3049877.3049899(208-217)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.5555/3049877.3049899
Arcelli DCortellessa VDi Pompeo DOuni AKessentini MCinnéide M(2016)Automated translation among EPSILON languages for performance-driven UML software model refactoringProceedings of the 1st International Workshop on Software Refactoring10.1145/2975945.2975951(25-32)Online publication date: 4-Sep-2016
https://dl.acm.org/doi/10.1145/2975945.2975951

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