Mon 21 Oct 2024 09:30 - 10:00 at IBR East - Empirical Studies and Experience Reports Chair(s): Benoit Combemale

Infrastructure-from-Code (IfC) is a new approach to DevOps and an advancement of Infrastructure-as-Code (IaC). One of its key concepts is to provide a higher level of abstraction facilitated by new programming languages or software development kits, which automatically generate the necessary code and configurations to provision the infrastructure, deploy the application, and manage the cloud services. IfC approaches promise higher developer productivity by reducing DevOps-specific tasks and the expert knowledge required. However, empirical studies on developers’ performance, perceived ease of use, and usability related to IfC are missing. We conducted a controlled experiment (n=40) to assess the usability of the cloud programming languages (PL) and software development kits (SDK). Both approaches involve similar effectivity. We found that the PL-based approach was moderately less efficient but increased correctness with time spent on programming. Tracing generated infrastructure configurations from code was more challenging with the SDK-based approach. Applying thematic analysis, 19 themes emerged related to usability barriers, supporting factors, security, cloud cost, and enhancement areas. We conclude with five findings and future directions.

Mon 21 Oct

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

09:00 - 10:30
Empirical Studies and Experience ReportsSLE at IBR East
Chair(s): Benoit Combemale University of Rennes, Inria, CNRS, IRISA
09:00
30m
Talk
Trading Runtime for Energy Efficiency
SLE
Simão Cunha University of Minho, Luís Silva University of Minho, João Saraiva University of Minho, João Paulo Fernandes LIACC, Universidade do Porto, Porto, Portugal
DOI
09:30
30m
Talk
Cloud Programming Languages and Infrastructure From Code: An Empirical Study
SLE
Georg Simhandl University of Vienna, Uwe Zdun University of Vienna
DOI
10:00
30m
Talk
Statically and Dynamically Delayed Sampling for Typed Probabilistic Programming Languages
SLE
Gizem Caylak KTH Royal Institute of Technology, Daniel Lundén Oracle, Viktor Senderov Institut de Biologie de l'École Normale Supérieure, David Broman KTH Royal Institute of Technology
DOI
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