Requirements engineering for cloud systems: A mapping study design

Fernando Wanderley, Eric Souza, Miguel Goulão, Joao Araujo, Gilberto Cysneiros, Ananya Misra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


Cloud Computing gets increasingly established in industrial practice as an option for modelling cost-efficient and demand-oriented information systems. Despite the increasing acceptance of cloud computing within the industry, many important questions remain unanswered. Issues related to the best software architectures decisions for cloud-based systems are faced with the question of appropriate techniques applying at early phase like requirements engineering. The goal of this paper defines a design of a mapping study to verify and identify the existence of relevant research gaps, which refers mainly to requirements models, tools or methods for cloud systems (SaaS). The conclusion of this mapping study design reinforces and actively encourages the necessity of the complete execution (and replication) of a systematic mapping study regarding the synergy of requirements engineering (e.g.: with model-driven issues) applied for a cloud computing.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
PublisherSpringer Verlag
Number of pages15
Volume10409 LNCS
ISBN (Print)978-331962406-8
Publication statusPublished - 15 Jul 2017
Event17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italy
Duration: 3 Jul 20176 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10409 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Computational Science and Its Applications, ICCSA 2017


  • Cloud systems
  • Mapping study
  • Requirements engineering
  • SaaS
  • Systematic review


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