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The making of cloud applications: an empirical study on software development for the cloud

Authors:

Philipp Leitner,

Harald C. GallAuthors Info & Claims

ESEC/FSE 2015: Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering

Pages 393 - 403

https://doi.org/10.1145/2786805.2786826

Published: 30 August 2015 Publication History

Abstract

Cloud computing is gaining more and more traction as a deployment and provisioning model for software. While a large body of research already covers how to optimally operate a cloud system, we still lack insights into how professional software engineers actually use clouds, and how the cloud impacts development practices. This paper reports on the first systematic study on how software developers build applications for the cloud. We conducted a mixed-method study, consisting of qualitative interviews of 25 professional developers and a quantitative survey with 294 responses. Our results show that adopting the cloud has a profound impact throughout the software development process, as well as on how developers utilize tools and data in their daily work. Among other things, we found that (1) developers need better means to anticipate runtime problems and rigorously define metrics for improved fault localization and (2) the cloud offers an abundance of operational data, however, developers still often rely on their experience and intuition rather than utilizing metrics. From our findings, we extracted a set of guidelines for cloud development and identified challenges for researchers and tool vendors.

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Cited By

Jungwirth GSaha ASchröder MFiebig TLindorfer MCito J(2023)Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)10.1109/MSR59073.2023.00051(322-333)Online publication date: May-2023
https://doi.org/10.1109/MSR59073.2023.00051
Li ZLuo CChen TShang WHe SLin QZhang D(2023)Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)10.1109/ICSE48619.2023.00078(830-842)Online publication date: May-2023
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Index Terms

The making of cloud applications: an empirical study on software development for the cloud
1. Software and its engineering

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Information & Contributors

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Published In

cover image ACM Conferences

ESEC/FSE 2015: Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering

August 2015

1068 pages

ISBN:9781450336758

DOI:10.1145/2786805

General Chair:
Elisabetta Di Nitto
Politecnico di Milano, Italy
,
Program Chairs:
Mark Harman
University College London, UK
,
Patrick Heymans
University of Namur, Belgium

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 the author(s) 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].

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SIGSOFT: ACM Special Interest Group on Software Engineering

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New York, NY, United States

Publication History

Published: 30 August 2015

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ESEC/FSE'15: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering

August 30 - September 4, 2015

Bergamo, Italy

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Cited By

Jungwirth GSaha ASchröder MFiebig TLindorfer MCito J(2023)Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)10.1109/MSR59073.2023.00051(322-333)Online publication date: May-2023
https://doi.org/10.1109/MSR59073.2023.00051
Li ZLuo CChen TShang WHe SLin QZhang D(2023)Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)10.1109/ICSE48619.2023.00078(830-842)Online publication date: May-2023
https://doi.org/10.1109/ICSE48619.2023.00078
Sun LXu X(2023)SNNLog: A Log Parsing Scheme with Siamese Network and Fixed Depth Tree in Networks2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD57460.2023.10152745(1025-1030)Online publication date: 24-May-2023
https://doi.org/10.1109/CSCWD57460.2023.10152745
Shahin MRezaei Nasab AAli Babar M(2023)A qualitative study of architectural design issues in DevOpsJournal of Software: Evolution and Process10.1002/smr.237935:5Online publication date: 25-Apr-2023
https://dl.acm.org/doi/10.1002/smr.2379
Gochhait SButt SJamal TAli A(2022)Cloud Enhances Agile Software DevelopmentResearch Anthology on Agile Software, Software Development, and Testing10.4018/978-1-6684-3702-5.ch025(491-507)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3702-5.ch025
Bezerra CCoutinho E(2022)Teaching software processes from different application domainsProceedings of the XXI Brazilian Symposium on Software Quality10.1145/3571473.3571488(1-10)Online publication date: 7-Nov-2022
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Locke SLi HChen TShang WLiu W(2022)LogAssist: Assisting Log Analysis Through Log SummarizationIEEE Transactions on Software Engineering10.1109/TSE.2021.308371548:9(3227-3241)Online publication date: 1-Sep-2022
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Sousa TFerreira HCorreia F(2022)A Survey on the Adoption of Patterns for Engineering Software for the CloudIEEE Transactions on Software Engineering10.1109/TSE.2021.305217748:6(2128-2140)Online publication date: 1-Jun-2022
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Hassan MRahman A(2022)As Code Testing: Characterizing Test Quality in Open Source Ansible Development2022 IEEE Conference on Software Testing, Verification and Validation (ICST)10.1109/ICST53961.2022.00031(208-219)Online publication date: Apr-2022
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Sedki IHamou-Lhadj AAit-Mohamed OShehab M(2022)An Effective Approach for Parsing Large Log Files2022 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME55016.2022.00009(1-12)Online publication date: Oct-2022
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