The document discusses teaching model-driven engineering (MDE) to management science students. It presents the current situation where students struggle with programming and could benefit from MDE. The authors hypothesize that MDE could help students address key skills by allowing them to model an information system and produce a real system. They applied an MDE approach to a case study over two years with management students and found mostly positive results, though some models scored better than others. The authors conclude MDE shows promise for teaching students but needs adjustments to make it less complex and better integrated across models.
Revisiting all aspects of model-driven engineering (application, teaching, verification , tooling, research,...) promoting a lightweight perspective to maximize MDE success and adoption
This presentation presents empirical evidence about the economic value of software modeling using UML in software development projects. It is based on research of dr. Michel Chaudron performed at Leiden University and TU Eindhoven in teh Netherlands. Please contact us if youwould like to collaborate.
Revisiting all aspects of model-driven engineering (application, teaching, verification , tooling, research,...) promoting a lightweight perspective to maximize MDE success and adoption
This presentation presents empirical evidence about the economic value of software modeling using UML in software development projects. It is based on research of dr. Michel Chaudron performed at Leiden University and TU Eindhoven in teh Netherlands. Please contact us if youwould like to collaborate.
Modeling should be an independent scientific disciplineJordi Cabot
Software modeling started as a paradigm to help developers build better software faster by enabling them to specify, reason and manipulate software systems at a higher-abstraction level while ignoring irrelevant low-level technical details. But this same principle manifests in any other domain that has to deal with complex systems, software-based or not. We argue that bringing to other engineering and scientific fields, our modeling expertise is a win–win opportunity where we can all learn from each other as we all model, but in complementary ways. Nevertheless, to fully unleash the benefits of this collaboration, we must go beyond individual efforts trying to adapt single techniques from one field to another. It requires a deeper reformulation of modeling as a whole. It is time for modeling to become an independent discipline where all fields of knowledge can contribute and benefit from.
Introduction to Software Engineering, Software Process, Perspective and Specialized Process Models – Introduction to Agility – Agile process – Extreme programming – XP process - Estimation-FP,LOC and COCOMO I and II,Risk Management, Project Scheduling.
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
Software Development is a complicated project. Careful management of the project is really important. The various steps involved in the management of software development project is discussed here in detail.
Object-Oriented Analysis and Design (OOAD) is a software engineering methodology that involves using object-oriented concepts to design and implement software systems. OOAD involves a number of techniques and practices, including object-oriented programming, design patterns, UML diagrams, and use cases.
Modeling should be an independent scientific disciplineJordi Cabot
Software modeling started as a paradigm to help developers build better software faster by enabling them to specify, reason and manipulate software systems at a higher-abstraction level while ignoring irrelevant low-level technical details. But this same principle manifests in any other domain that has to deal with complex systems, software-based or not. We argue that bringing to other engineering and scientific fields, our modeling expertise is a win–win opportunity where we can all learn from each other as we all model, but in complementary ways. Nevertheless, to fully unleash the benefits of this collaboration, we must go beyond individual efforts trying to adapt single techniques from one field to another. It requires a deeper reformulation of modeling as a whole. It is time for modeling to become an independent discipline where all fields of knowledge can contribute and benefit from.
Introduction to Software Engineering, Software Process, Perspective and Specialized Process Models – Introduction to Agility – Agile process – Extreme programming – XP process - Estimation-FP,LOC and COCOMO I and II,Risk Management, Project Scheduling.
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
Software Development is a complicated project. Careful management of the project is really important. The various steps involved in the management of software development project is discussed here in detail.
Object-Oriented Analysis and Design (OOAD) is a software engineering methodology that involves using object-oriented concepts to design and implement software systems. OOAD involves a number of techniques and practices, including object-oriented programming, design patterns, UML diagrams, and use cases.
Research Questions for Validation and Verification in the Context of Model-Ba...Michalis Famelis
Abstract. In model-based engineering (MBE), the abstraction power
of models is used to deal with the ever increasing complexity of modern
software systems. As models play a central role in MBE-based develop-
ment processes, for the adoption of MBE in practical projects it becomes
indispensable to introduce rigorous methods for ensuring the correctness
of the models. Consequently, much effort has been spent on developing
and applying validation and verification (V&V) techniques for models.
However, there are still many open challenges.
In this paper, we shortly review the status quo of V&V techniques in
MBE and derive a catalogue of open questions whose answers would
contribute to successfully putting MBE into practice.
Catherine Dubois, ENSIIE, France
Michalis Famelis, University of Toronto, Canada
Martin Gogolla, Database Systems Group, University of Bremen, Germany
Leonel Nobrega, University of Madeira, Portugal
Ileana Ober, University of Toulouse, France
Martina Seidl, Johannes Kepler University Linz, Austria
Markus Völter, Völter Ingenieurbüro, Germany
Agile and Modeling / MDE : friends or foes? (Agile Tour Nantes 2010)Jordi Cabot
n the talk I explore the relationships between software modeling and agile practices. For many agilists, the perception is that modeling is a useless activity that should not be part of the core agile practices. But, Is this really the case? Can agile benefit from modeling? Can modeling benefit from agile? Can modeling help companies understand the human and social aspects of agile methods and improve their chances of success when adopting them?
SADT & IDEF0 for Augmenting UML, Algile & Usability EngineeringDavid Marca
Correct and complete context for software engineering requires domain modeling. Structured Analysis and Design Technique (SADT/IDEF0) is a proven way to model any kind of domain. This talk explains how SADT/IDEF0 domain modeling can bring correct and complete domain knowledge, including all required context, to today’s commonplace disciplines of Agile System Development, Unified Modeling Language (UML) methodology, and Usability Engineering methods.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Assure Contact Center Experiences for Your Customers With ThousandEyes
W4 ucl@md day2011
1. Teaching Model-Driven Engineering
of Information Systems to students: could they use it?
Pascal Beaujeant, Jean Vanderdonckt
Université catholique de Louvain (UCL)
Louvain School of Management (IAG)
Pole of Research on Information and Services Management and Engineering (PRISME)
Louvain Interaction Laboratory (Lilab)
Place des Doyens, 1
B-1348 Louvain-la-Neuve - Belgium
jean.vanderdonckt@uclouvain.be - http://www.lilab.be
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 1
2. Who are we?
Pascal Beaujeant Jean Vanderdonckt
pascal.beaujeant@uclouvain.be Jean.vanderdonckt@uclouvain.be
http://www.uclouvain.be/pascal.beaujeant http://www.uclouvain.be/jean.vanderdonckt
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 2
3. Outline
• MDE to students: could they use it?
• MDE of user interfaces
• MDE of user interfaces for mobile
platforms
• Conclusion
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 3
4. Teaching: Current situation
• How to teach Computer Science to two
different types of students?
Computer Science (CS) students
Management Sciences (MS) students
Not just Management (of) Information Systems
(MIS)
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 4
5. Current situation
• MS students
Learned programming for 2 years, but experienced
several problems
Too much time spent on
• language understanding, code writing and bug fixing
Not enough time spent on
• the real problem to solve
Too complex for them to master
Tend to assimilate computer science to
Internet browsing: all ISs should be Web 2.0
Pure programming: only hackers can make it
Not their favorite concern, apart a few (~5%)
Have little or no idea of what IS modeling is
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 5
6. Current situation
• CS students
Learned extensively programming for years, but
Still requiring a lot of resources for them to master
Tend sometimes to assimilate CS to
‘rush-to-code’ approach: code first, test after
Advanced programming: test sophisticated techniques first
Is their favorite concern, apart a few (~15%)
Have some idea of what IS modeling is, but…
Is not systematically applied
Never really experienced Model-Driven Engineering (MDE) on
a real case study
‘I will need the same time to develop your IS than to model it’
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 6
7. What are the skills required for students?
• CS / MS students
Axis #1: Acquire scientific & technical knowledge
1.1 Identify and apply concepts, laws, and reasoning relevant to a given
problem
1.2 Identify and use modeling/computational software to solve a given
problem
1.3 Verify adequacy and confirm validity of results with respect to the type of
given problem
Axis #2: Acquire engineering skills
2.1 Analyse a problem or the functional requirements to satisfy and write
specifications accordingly
2.2 Model a problem and conceive one or many original technical solutions in
order to address requirements
2.3 Evaluate and classify solutions with respect to quality criteria
2.4 Implement and test a selected solution as a mockup, prototype or
numerical model
2.5 Write recommendations in order to improve operationalisation of a
2011 LSM
selected solution EXCELLENCE AND ETHICS IN BUSINESS
7
8. What are the skills required for students?
• CS / MS students
Axis #2: Acquire engineering skills
2.1 Analyse a problem or the functional requirements to satisfy and write
specifications accordingly
2.2 Model a problem and conceive one or many original technical solutions in
order to address requirements
2.3 Evaluate and classify solutions with respect to quality criteria
2.4 Implement and test a selected solution as a mockup, prototype or
numerical model
2.5 Write recommendations in order to improve operationalisation of a
selected solution
Axis #3: Acquire Research & Development skills
Axis #4: Ability for Project management
Axis #5: Ability for Communication
Axis #6: Ethics and Professionalism
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 8
9. Hypotheses
• MS students
Are able to model an entire IS by relying on MDA
Are able to produce a real IS
Thus, addressing most axes
• CS students (not covered here)
Are also able to apply MDA in a way that should be
superior in principle
Are able to optimize the path for acquiring some skills
Thus, also addressing most axes
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 9
10. Method (1/4)
• Define explicitly one modeling life cycle
(MLC)
• MDA
The following definition was approved unanimously by 17 participants of the
ORMSC plenary session meeting in Montreal on 23-26 August 2004. The stated
purpose of these two paragraphs was to provide principles to be followed in the
revision of the MDA guide.
MDA is an OMG initiative that proposes to define a set of non-proprietary
standards that will specify interoperable technologies with which to realize model-
driven development with automated transformations. Not all of these technologies
will directly concern the transformation involved in MDA. MDA does not
necessarily rely on the UML, but, as a specialized kind of MDD (Model Driven
Development), MDA necessarily involves the use of model(s) in
development, which entails that at least one modeling language must be used.
Any modeling language used in MDA must be described in terms of the MOF
language to enable the metadata to be understood in a standard manner, which is
a precondition for any activity to perform automated transformation.
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 10
11. Method (2/4): One Modeling Life Cycle (MLC)
Contextualisation Decontextualisation Recontextualisation
Start
End
Acquirng the First elicitation of Model input in Model-driven IS deployment Evaluation
case study requirements Writing ONME models OlivaNova engineering (M2M, M2C) of results
-Writing the various models
1. Object model - Evaluation
2. Dynamic model questionnaires
3. Functional model -Parametrizing of generation targets - Focus groups
-Textual statement, scenario -Targets possible
4. Presentation model
- Material : documents, pictures, -1. Web application (HTML)
5. Execution model
diagrams, interview of a real-world -2. Web application (Java)
representative -3. Local application (DotNet)
- Project reception by e-
mail or FTP
- Installing the system
-Running the system
- First identification of objects, services,
- Graphical editing of models (partial /
and users fro material
total)
- First transformation into modeling
2011 LSM elements
-Detailed specifications for each model
EXCELLENCE AND ETHICS IN BUSINESS 11
12. Pastor, O., Molina, J.C., Model-Driven Architecture in Practice: A
Method (3/4) Software Production Environment Based on Conceptual
Modeling, Springer, Heidelberg, 2007.
ISBN 978-3-540-71867-3
• Define explicitly one MLC
= one MLC
• Apply it consistently
W1 W2 W3 W4 W5 W6 W7 W8 W9 W10 W11 W12 W13 Final
examination
Face-to-face course
(theoretical and practical)
Individual
pedagogical path
Collective
pedagogical path
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 12
13. Method (4/4)
• Management Information System of
Nabaztag (MindScape)
Outside
Inside
• Why: service oriented, original, funny
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 13
14. Results 2009 (similar 2010)
• 397 MS students distributed into 60 groups
of 6-9 members
• 8 teaching assistants
• Course (30h + 30h = 60h)
Started Feb 2009 to end of May 2009
Case study: for end of May 2009
Examination: June 2009
Supported by Claroline (www.claroline.net)
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 14
15. 90
Results 80
70
60
• Overall score 50
40 Série1
30
20
10
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
• Per model scores
Models Average score Standard
(on 10) deviation (on 10)
Object model 7,66 0,47
Dynamic model 7,20 1,13
Functional model 4,83 1,64
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 15
16. Conclusion for 2009 and 2010
• Some potential explanations
Data-centered design is a design methodology that is
prevalent over
Services-centered design (dynamic model)
Process-centered design (functional model)
User-centered design (presentation model)
Although MDA promotes model flexible transformation,
MDA is understood linearly
Object model, then
Dynamic model, then
Functional model, then
Presentation model, then Execution model
Propagation across models are understood lately
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 16
17. Conclusion for 2009 and 2010
• Some potential explanation
Teaching MDE in a streamlined way is too
demanding
A bit of everything at once, then iterate
E.g., object + dynamics first
Too many models at once
Better intertwining of the approach
"Agile modelling" approach to be tested
Environment was too complicated
Change it! => Leonardi
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 17
18. Modeling issues
• Put everything USER SHERPA
in the same
+Email: String [30]
-Password: String [10]
+NameUser: String [30]
model
+FirstnameUser: String [15]
+Street: String [30]
+No: Integer [4]
+ZipCode: Integer [4]
+City: String [30]
+ Country: String [30]
+Phone: String [14]
+Mobile: String [14]
+Gender: Char = {M,F}
+Lanquage: String [2] = {DE, EN, FR, NL}
+isInformed: Boolean
+hasSeat: Boolean
+SeatNumber: Integer
+SeatPrice: Real
+CreateUser ()
+ReadUser()
+UpdateUser()
+DeleteUser()
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 18
19. Modeling issues
• Dynamic model
Common mistakes: too many states,
irrelevant states, transition without semantics
[Admin]: CloseEvt() [Admin]: DeleteEvt()
Event Free Booking
Creat Seats closed
[Admin]: OpenEvt()
ed
[Admin]: CreateEvt() [UserSherpa]: BookTicket()
Booked
Seats
[UserSherpa]: PayTicket()
Paid
Seats
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 19
20. Modeling issues
• Update object model with newly identified
services: disturbing for students
constitue Place
Utilisateur Sherpa
est acheté
Ticket ForestNat est constitué de
par +NoPlace: Integer[6]
1
achète +CatégoriePlace : String [10]
+LogInUtil() +NoTicket: Integer[6] 1..n
+LogOutUtil() 1 0..n +PrixTotal : Real
+CreatePlace()
+ModePaiement:
+ReadPlace()
String [10]
+UpdatePlace()
+estPayé : Boolean
Administrateur +DeletePlace
+estRéservé : Boolean
+CreateTicket()
+ReadTicket() Caractérisation
+UpdateTicket()
+DeleteTicket() +Disponibilité : Boolean
+PrixUnitaire : Real
Evenement +RéserverTicket()
est relatif à +QtéCommandée : Integer [2]
1..n +PayerTicket()
1
+CalculerPrixTotal()
+OuvrirEvt() est couvert
+ClôturerEvt() par
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 20
21. Modeling issues
• 7 specification sins (adapted from Meyer)
Noise: existence of a model element that does not convey any
information to any problem feature
Synonyms: redundancy, remorse
Silence: existence of a problem feature that is not covered by any
model element
Overspecification: existence of a model element that does not cover
any problem feature, but to a solution feature
Contradiction: existence of two or more model elements that cover a
problem feature in an incompatible way
Ambiguity: existence of two or more model elements that cover a
problem feature in at least two different ways
Synonyms: inconsistency, incoherence
Forward reference: existence of a model element that refers to a
problem feature that is later defined
Wishful thinking: existence of a model element intended to cover a
problem feature in an irrealistic way (that cannot be validated)
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 21
22. Modeling issues
• 7 specification sins (adapted from Meyer)
Sin Representation Observed frequency
Noise Ø High at beginning, low after
(students add unspecified elements)
Silence Ø Moderate (usually simply forgotten)
Overspecification Very low
Contradiction Moderate (unnoticed)
Ambiguity High (no unicity, duplication)
Forward reference {o} … Low
Wishful thinking Low
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 22
23. Modeling issues
• Which Model quality properties
Property Definition
Completeness Ability of a model to abstract all real world aspects of interest via appropriate concepts and
relations ≈
Stylistic Ability of a model to represent all real world aspects of interest via appropriate stylistics of the IDE
completeness concepts and relations
Consistency Ability of a model to produce an abstraction in a way that reproduces the behaviour of the real
world aspect of interest in the same way throughout the model and that preserves this
behaviour throughout any manipulation of the model.
Correction Ability of a model to produce an abstraction in a way that correctly reproduces the behaviour
of the real world aspect of interest ≈
Expressivenes Ability of a model to express via an abstraction any real world aspect of interest
s
Concision Ability of a model to produce concise, compact abstractions to abstract real world aspects of
interest
≈
Separability Ability of models to univocally classify any abstraction of a real world aspect of interest into
one single model (based on the principle of Separation of Concerns from Dijkstra [8]) IDE
Correlability Ability of models to univocally and unambiguously establish relationships between models to
IDE
represent a real world aspect of interest
Integrability Ability of models to concentrate and integrate abstractions of real world aspects of interest into
IDE
a single model or a small list of them.
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 23
24. Results (2011)
• 205 MS students distributed into 34 groups
of 6-9 members
• 3 teaching assistants
• Course (30h + 30h = 60h)
Started Feb 2011 to end of May 2011
Case study: for end of May 2011
Examination: June 2011
Supported by Claroline (www.claroline.net)
Technical support from W4 (thanks a lot for
this!)
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 24
25. Why W4 Leonardi was selected?
• Domain model is the starting point
Important because domain is well understood
• Dynamics are simplified
Important because students do not need to master
them before running an actual system
• Full Automated generation
Important because students need to see immediately
the results of their model
• Pattern-based approach
Important because no need to master functional
aspects
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 25
27. Results 70
60
50
40
• Overall score 30
Série1
20
10
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
• Per model scores
Models Average score Standard
(on 10) deviation (on 10)
Object model 7,46 1,12
Dynamic model 6,90 0,70
Functional model 6,43 1,05
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28. Next academic year (2012)
• 400 MS students distributed into 60 groups
of 6-9 members
• 4 teaching assistants
• Course (30h + 30h = 60h)
Started Feb 2012 to end of May 2012
Case study: for end of May 2012
Examination: June 2012
Supported by Claroline (www.claroline.net)
Technical support from W4 (thanks a lot for
this!)
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29. Discussion
• Abilities acquired?
Ability of identification: important vs accessory
Ability of modeling: transform problem features into
model elements
Ability of abstraction: transform problem features into
abstract elements
Ability of separation of concerns: separate problem
features into different models
Ability of generalisation: transform problem features
into solution elements that are more generic
Ability of evaluation: evaluate model qualities
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30. Ongoing work
• What are we doing to improve this?
Multi-path learning environment (P. Beaujeant,
UCL)
Explicit propagation of model decisions
Rapid prototyping: horizontal, vertical, diagonal
Flexibility in model-driven engineering (N.
Aquino, UPV/UCL, SENEROA, W4, UsiXML)
Beautification of user interface
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31. Ongoing work
• Rapid prototyping with propagation
Vertical prototype Horizontal prototype
User interface (presentation model)
Complete
Control (dynamic, execution models) Information
System
Functional core (object, functional models)
Video of UsiXML project
Diagonal prototype
User interface
Complete
Control Information
System
Functional core
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32. Ongoing work
• Rapid prototyping with propagation
(1)
User interface
(2) Complete
Control Information
System
(3)
Functional core
(1) (2) (3) (4) (5) (6)
User interface
Complete
Control Information
System
Functional core
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 32
33. Transformation Templates
• Definition of a methodology (models, method and
tools) in order to add flexibility to Model-Driven
Engineering of User Interfaces (UIs)
• Flexibility means
For end-users: it will be possible to generate many different
UIs
For designers: it will be easier to customize a UI previously to
its generation
For developers: it will be possible to gradually implement the
methodology and extend the set of possible UIs when
necessary
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 33
33
34. Transformation Templates
• Transformation Templates
Specify the structure, layout and style of a UI
Are composed of parameters with associated
values that parameterize UI model
transformations
Are inputs for transformation tools
TRANSFORMATION
TEMPLATE
PRESENTATION MODEL MODEL COMPILER USER INTERFACE CODE
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 34
34
35. Transformation Templates
User Interfaces Transformation Templates Context
Parameter
Type
UI Meta Value
Element Type
Parameter Type definition
level
Parameter definition
level
Parameter Value
Context
UI Element
Selector Transformation
Template
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 35
35
36. Transformation Templates
• Parameter Type definition level
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 36
36
37. The demand for UI development (Amount of interactive systems)
(Amount of end users)
10 to 50 systems
10000 for 1 user
50000
2 or 3 systems
1 system for for 1 user
1000 1 user
5000
100 1 system for 500
100 users
10 50
1970 1980 1990 2000 2010 2020
Embedded
systems
Infrastructure tools
XML Software tools
Platforms Applications
Windows
Platforms
Linux
Platforms
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 37
38. The offer for UI development
Need for UI
designers
Amount of UI designers
Hired UI
designers
Deviation
Year
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 38
39. The UsiXML answer
• In order to avoid proliferation of multiple parallel developments,
UsiXML introduces model-driven engineering for UI
Platform #1 Platform #2 Platform #3 Platform #4
Application 1 UI #1 UI #2 UI #3 UI #4
Application 2 UI #5 UI #6 UI #7 UI #8
Application 3 UI #9 UI #10 UI #11 UI #12
Platform model #1 Platform #1
Application 1 UI model #1
Platform model #2 Platform #2
Application 2 UI model #2
Platform model #3 Platform #3
Application 3 UI model #3
Platform model #4 Platform #4
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 39
40. Four levels of abstraction
Example: The Google homepage
Task & Domain (T&D)
AbstractIndividual
Container
Abstract User Interface
AIC AIC AIC
facet=control facet=control facet=control (AUI)
Window
Concrete User Interface
textInput button button (CUI)
Final User Interface (FUI)
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 40
ITEA UsiXML project #08026, 2009-2012
41. Example of MDE of Uis in UsiXML
The Abstract User Interface has been transformed in a Concrete
User Interface as a Windows application
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 41
ITEA UsiXML project #08026, 2009-2012
42. Example of MDE of Uis in UsiXML
Total graphical VS predominant graphical
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 42
ITEA UsiXML project #08026, 2009-2012
43. Example of MDE of Uis in UsiXML
Predominant vocal VS total vocal
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 43
ITEA UsiXML project #08026, 2009-2012
44. CUI rendering in VUItoolkit
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45. X3D generated from Alice
• It’s a real 3D UI!
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46. FUI included in virtual scene
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47. MDE of user interfaces for mobile platforms
• Mobile platforms: everywhere and growing
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS
47 47
48. MDE of user interfaces for mobile platforms
• Mobile platforms: everywhere and growing
• Mobile experience can be much better than non-
mobile Demo of UsiXML editor
Support context-aware adaptation
Think about how it could be better
• You can master mobile app development
Support tools: sophisticated and getting better
• You need to understand and own mobile
• The mobile experience must be seamlessly
integrated with non-mobile IT elements
• Model-driven mobile development (MD)2 is coming
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS
48 48
49. MDE of user interfaces for mobile platforms
• You can apply similar designs to different
platforms (iOS, Android, etc.) but it
takes some work
• Usage has increased significantly
when adding customized mobile apps to
web sites
There is a reward for going mobile
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS
49 49
50. 50
Context-aware adaptation of user interfaces
User interface pattern
depending on the platform
Textual
Graphical
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51. Context-aware adaptation of user interfaces
• Touch phones
Night version, 2 days Day version, 2 days
51
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 51
52. Context-aware adaptation of user interfaces
• Tablet PC & iPad
Night version, 4 days Day version, 4 days
52
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 52
53. Context-aware adaptation of user interfaces
• Desktop version
53
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 53
54. 54
Context-aware adaptation of user interfaces
User interface pattern
depending on the platform
Textual
Graphical
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 54
55. Context-aware adaptation of user interfaces
• Touch phones
Night version, 2 days Day version, 2 days
55
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 55
56. Context-aware adaptation of user interfaces
• Tablet PC & iPad
Night version, 4 days Day version, 4 days
56
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 56
57. Context-aware adaptation of user interfaces
• Desktop version
57
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 57
58. Conclusion
• How to improve our MDA-based method?
Expanding the coverage Resource win for applications
supported by MDA-compliant tools
High ceiling
Resource win for applications
Low threshold supported by first-generation
Wide walls
100%
Capabilities Ceiling
MDA CASE tools
Second generation
integrated environments
First generation
Interface builders and
50%
Threshold
Resources (time, experience,…)
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 58
59. Conclusion
• How to improve Capabilities
100%
our MDA-based
Ceiling
Third generation
method?
Integrated Development Environments
Second generation
First generation
50%
Threshold
Resources
(time, experience,…)
Walls
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 59
60. Thank you very much for your attention!
User Interface eXtensible Markup Language
http://www.usixml.org
http://www.usixml.eu
Register as a member of the UsiXML End-User Club at
http://www.usixml.eu/end_user_club
For more information and downloading,
http://www.lilab.eu
2011 LSM EXCELLENCE AND ETHICS IN BUSINESS 60