Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Collaborative model driven software engineering: a Systematic Mapping Study

524 views

Published on

Collaborative software engineering (CoSE) deals with methods, processes and tools for enhancing collaboration, communication, and co-ordination (3C) among team members. CoSE can be employed to conceive different kinds of artifacts during the development and evolution of software systems. For instance, when focusing on software design, multiple stakeholders with different expertise and responsibility collaborate on the system design.
Model-Driven Software Engineering (MDSE) provides suitable techniques and tools for specifying, manipulating, and analyzing modeling artifacts including metamodels, models, and transformations. A collaborative MDSE approach can be defined as a method or technique allowing multiple stakeholders to work on a set of shared modeling artifacts, and to be aware of each others’ work. Even though Collaborative MDSE is gaining a growing interest in both academia and practice, a holistic view on what Collaborative MDSE is, its components, the related opportunities and challenges is still missing.
In this talk, I outlined the main insights of the systematic mapping study we have done to identify and classify approaches, methods, and techniques that support collaborative. We present three complementary dimensions that we have identified during the study as the peculiar aspects building up a collaborative MDSE: a model management infrastructure for managing the life cycle of the models, a set of collaboration means for allowing involved stakeholders to work on the modelling artifacts collaboratively, and a set of communication means for allowing involved stakeholders to be aware of the activities of the other stakeholders. The identification of limitations and challenges of currently available collaborative MDE approaches is also given by discussing the implications for future investigation.

Published in: Software
  • Hello! I can recommend a site that has helped me. It's called ⇒ www.WritePaper.info ⇐ They helped me for writing my quality research paper.
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • I’ve personally never heard of companies who can produce a paper for you until word got around among my college groupmates. My professor asked me to write a research paper based on a field I have no idea about. My research skills are also very poor. So, I thought I’d give it a try. I chose a writer who matched my writing style and fulfilled every requirement I proposed. I turned my paper in and I actually got a good grade. I highly recommend ⇒ www.HelpWriting.net ⇐ to anyone who is in the same shoes as me.
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

Collaborative model driven software engineering: a Systematic Mapping Study

  1. 1. Dipartimento di Ingegneria e Scienze Università degli Studi dell’Aquila dell’Informazione e Matematica Collaborative Model-Driven Software Engineering: a Systematic Mapping Study Davide Di Ruscio davide.diruscio@univaq.it COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016
  2. 2. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 2 Joint work with Prof. Henry Muccini University of L’Aquila Dr. Ivano Malavolta Vrije Universiteit Amsterdam Mirco Franzago University of L’Aquila
  3. 3. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 3 Collaborative Software Engineering “Collaborative software engineering (CoSE) deals with methods, processes and tools for enhancing collaboration, communication, and co-ordination (3C) among team members” (*) (*) Ivan Mistrik, John Grundy, Andr Hoek, and Jim Whitehead (Eds.). 2010. Collaborative Software Engineering. Springer Berlin Heidelberg.
  4. 4. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 4 Collaborative Software Engineering When focusing on software design multiple stakeholders with different background collaborate on the development of the system CoSE is not only about software development team members It can embrace also external and non-technical stakeholders • e.g., customers, final users
  5. 5. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 5 Collaborative Software Engineering Collaborative Model Driven Software Engineering ?
  6. 6. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 6 Collaboration in MDSE Versioning
  7. 7. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 7Collaboration in MDE: different aspects & concepts
  8. 8. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 8 Collaborative Model-Driven Software Engineering (CoMDSE) A large body of knowledge about different aspects of collaborative model-driven software engineering (MDSE) exists A study analysing, classifying, and comparing approaches and methods for MDSE is still missing
  9. 9. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 9 Systematic Mapping Studies “… Systematic mapping studies or scoping studies are designed to give an overview of a research area through classification and counting contributions in relation to the categories of that classification… ” “…It involves searching the literature in order to know what topics have been covered in the literature, and where the literature has been published …” Kai Petersen, et al., Guidelines for conducting systematic mapping studies in software engineering: An update, Information and Software Technology, Volume 64, Pages 1-18, 2015
  10. 10. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 10 Systematic Mapping Study of CoMDSE Main goals: 1. Draw a complete, comprehensive and valid picture of the state of the art about collaborative MDSE 2. Identify potential gaps in current research and future research directions
  11. 11. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 11 Defining CoMDSE… 1. Analysis of a set of studies about MDSE approaches with a strong focus on collaboration; 2. Investigation on existing literature about collaborative approaches for software engineering in general; 3. Produced a tentative definition of CoMDSE; 4. MDSE and global software engineering experts have been involved to objectively assess the soundness of the obtained definition; 5. the definition was refined according to the feedback provided by the experts.
  12. 12. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 12 Defining CoMDSE A collaborative MDSE approach is defined as a method or technique in which multiple stakeholders manage, collaborate, and are aware of each others’ work on a set of shared models.
  13. 13. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 13 Collaborative MDSE dimensions A model management infrastructure for managing the life cycle of the models A set of collaboration means for allowing involved stakeholders to work on the modelling artifacts collaboratively A set of communication means for allowing involved stakeholders to be aware of the activities of the other stakeholders.
  14. 14. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 14 Overview of the review process http://tinyurl.com/glv7bg5
  15. 15. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 15 Overview of the review process http://tinyurl.com/glv7bg5
  16. 16. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 16 Overview of the review process http://tinyurl.com/glv7bg5 1.Establish the need for performing the mapping study on collaborative MDSE 2.Identifying the main research questions 3.Defining the protocol to be followed
  17. 17. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 17 Overview of the review process http://tinyurl.com/glv7bg5 1. Search and selection (definition of the search string, backward and forward snowblaling, …) 2. Comparison framework definition (data extraction form) 3. Data extraction (fill in the data extraction for each primary study) 4. Data synthesis (comprehensive summary)
  18. 18. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 18 Overview of the review process http://tinyurl.com/glv7bg5 1. Elaboration of the extracted data 2. Analysis of the possible threats to validity 3. Writing of reports
  19. 19. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 19 Research questions They are crucial ingredients for performing systematic mapping studies . Purpose Identify, classify, and understand Issue the publication trends, characteristics, and challenges Object of existing collaborative MDSE approaches Viewpoint from a researcher’s viewpoint Goal-Question-Metric perspectives
  20. 20. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 20 Research questions RQ1: What are the characteristics of collaborative MDSE approaches ? Objective: to identify and classify existing CoMDSE approaches according to the three dimensions (model management, collaboration, communication) Outcome: a map that classifies a set of CoMDSE based on different categories
  21. 21. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 21 Research questions RQ2: What are the challenges of existing CoMDSE approaches ? Objective: to identify current limitations and challenges with respect to the state of the art in CoMDSE Outcome: a map that classifies CoMDSE with respect to their limitations, faced challenges, and future work
  22. 22. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 22 Research questions RQ3: What are the publication trends about collaborative MDSE approaches over time ? Objective: to identify and classify the interest of researchers in CoMDSE approaches and their various characteristic over time Output: a map that classifies the collected primary studies according to publication year, venue, etc.
  23. 23. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 23 Some numbers…. • 6 scientific search engines • 3047 papers after automatic search • 160 papers after title+abstract selection • 108 papers after full-text selection • 48 main studies after clusterization • 84 attributes for data extraction/analysis
  24. 24. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 24 Inclusion Criteria I1. Studies proposing an MDSE method or technique for supporting the collaborative work of multiple stakeholders on models I2. Studies in which models are the primary artifacts within the collaboration process I3. Studies providing some kind of validation or evaluation of the proposed method or technique • e.g., via a case study, a survey, experiment, exploitation in industry, formal analysis, example usage I4. Studies subject to peer review (e.g., journal papers, papers published as part of conference)
  25. 25. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 25 Exclusion Criteria E1. Studies discussing only business processes and collaboration practices, without proposing a specific method or technique E2. Secondary studies (e.g., systematic literature reviews, surveys, etc.) E3. Studies that do not provide enough information (e.g., in the form of tutorial papers, long abstract papers, poster papers, editorials)
  26. 26. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 26 Publication trends
  27. 27. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 27 Taxonomy: Collaboration Allowing involved stakeholders to work on the modelling artifacts collaboratively
  28. 28. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 28 Taxonomy: Collaboration
  29. 29. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 29 Taxonomy: Communication Allowing involved stakeholders to be aware of the activities of the other stakeholders
  30. 30. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 30 Taxonomy: Communication Target stakeholder
  31. 31. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 31 Taxonomy: Communication
  32. 32. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 32 Taxonomy: Communication Workspace awareness tools Low: it supports only zero or one element Medium: it supports two elements High: it supports all elements
  33. 33. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 33 Taxonomy: Communication
  34. 34. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 34 Taxonomy: Communication
  35. 35. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 35 Taxonomy: Management Infrastructure for managing the life cycle of the models
  36. 36. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 36 Taxonomy: Management
  37. 37. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 37 Taxonomy: Management
  38. 38. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 38 Open Issues For each primary study the following data have been collected: (i) identified limitations of the proposed approach (ii) identified challenges that have not been solved in the current form of the proposed approach (iii) discussed directions for future work
  39. 39. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 39 Open Issues
  40. 40. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 40 Conclusion The interest around CoMDSE has been increasing over the last years A study analysing, classifying, and comparing approaches and methods for MDSE was missing A Systematic Mapping Study has been performed to • draw a picture of the state of the art about CoMDSE • identify open issues and future research directions
  41. 41. COMMitMDE at MoDELS 2016 – Saint-Malo, October 4, 2016 41

×