This document introduces QwalKeko, a tool for querying version control system histories. It allows users to specify code characteristics and changes using a graph query language and logic programming rules. Querying the history involves traversing the version graph and checking if Ekeko logic rules are satisfied in each version. This allows formulating complex refactoring queries, such as finding methods that were pulled up to a parent class, in a declarative way.
This presentation about Python Interview Questions will help you crack your next Python interview with ease. The video includes interview questions on Numbers, lists, tuples, arrays, functions, regular expressions, strings, and files. We also look into concepts such as multithreading, deep copy, and shallow copy, pickling and unpickling. This video also covers Python libraries such as matplotlib, pandas, numpy,scikit and the programming paradigms followed by Python. It also covers Python library interview questions, libraries such as matplotlib, pandas, numpy and scikit. This video is ideal for both beginners as well as experienced professionals who are appearing for Python programming job interviews. Learn what are the most important Python interview questions and answers and know what will set you apart in the interview process.
Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer.
What is this course about?
The All-in-One Python course enables you to become a professional Python programmer. Any aspiring programmer can learn Python from the basics and go on to master web development & game development in Python. Gain hands on experience creating a flappy bird game clone & website functionalities in Python.
What are the course objectives?
By the end of this online Python training course, you will be able to:
1. Internalize the concepts & constructs of Python
2. Learn to create your own Python programs
3. Master Python Django & advanced web development in Python
4. Master PyGame & game development in Python
5. Create a flappy bird game clone
The Python training course is recommended for:
1. Any aspiring programmer can take up this bundle to master Python
2. Any aspiring web developer or game developer can take up this bundle to meet their training needs
Learn more at https://www.simplilearn.com/mobile-and-software-development/python-development-training
Python Interview Questions And Answers 2019 | EdurekaEdureka!
( ** Python Training : https://www.edureka.co/python ** )
This PPT on Python Interview Questions and Answers will help you prepare for Python job interviews. Start your preparation by going through the most frequently asked questions on Python.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
Follow us to never miss an update in the future:
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
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LinkedIn: https://www.linkedin.com/company/edureka
This presentation about Python Interview Questions will help you crack your next Python interview with ease. The video includes interview questions on Numbers, lists, tuples, arrays, functions, regular expressions, strings, and files. We also look into concepts such as multithreading, deep copy, and shallow copy, pickling and unpickling. This video also covers Python libraries such as matplotlib, pandas, numpy,scikit and the programming paradigms followed by Python. It also covers Python library interview questions, libraries such as matplotlib, pandas, numpy and scikit. This video is ideal for both beginners as well as experienced professionals who are appearing for Python programming job interviews. Learn what are the most important Python interview questions and answers and know what will set you apart in the interview process.
Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer.
What is this course about?
The All-in-One Python course enables you to become a professional Python programmer. Any aspiring programmer can learn Python from the basics and go on to master web development & game development in Python. Gain hands on experience creating a flappy bird game clone & website functionalities in Python.
What are the course objectives?
By the end of this online Python training course, you will be able to:
1. Internalize the concepts & constructs of Python
2. Learn to create your own Python programs
3. Master Python Django & advanced web development in Python
4. Master PyGame & game development in Python
5. Create a flappy bird game clone
The Python training course is recommended for:
1. Any aspiring programmer can take up this bundle to master Python
2. Any aspiring web developer or game developer can take up this bundle to meet their training needs
Learn more at https://www.simplilearn.com/mobile-and-software-development/python-development-training
Python Interview Questions And Answers 2019 | EdurekaEdureka!
( ** Python Training : https://www.edureka.co/python ** )
This PPT on Python Interview Questions and Answers will help you prepare for Python job interviews. Start your preparation by going through the most frequently asked questions on Python.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
Follow us to never miss an update in the future:
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Commit ускоривший python 2.7.11 на 30% и новое в python 3.5PyNSK
Автор доклада: Александр Сапронов.
Обзорный мини-доклад. В докладе вы найдете причину релиза 2.7.11 и новинки Python 3.5
Доклад сделан на 2 встрече сообщества PyNSK
Automatic Task-based Code Generation for High Performance DSELJoel Falcou
Providing high level tools for parallel programming while sustaining a high level of performance has been a challenge that techniques like Domain Specific Embedded Languages try to solve. In previous works, we investigated the design of such a DSEL – NT2 – providing a Matlab -like syntax for parallel numerical computations inside a C++ library.
Main issues addressed here is how liimtaions of classical DSEL generation and multithreaded code generation can be overcome.
Specifying function specializations over an arbitrary set of type constraints is a daunting task in C++ as soon as those constraints become more and more complex and/or grow in number. Various idioms are traditionally used to solve this problem: SFINAE or Tag Dispatching for example.
This talk introduces Boost.Dispatch, an infrastructure library that make Tag Dispatching easier to use and maintain by providing a protocol to define Tags and relationship between them, to map an arbitrary set of tags to a given function implementation and to extend said list of specialization in an open, modular way. The main new asset of Boost.Dispatch is the ability to use categorization of function properties and/or architectural information to guide the dispatch in addition to the more traditional use of type properties.
The talk will quickly brushes a picture of what SFINAE, overloading and Tag Dispatching mean in C++ and what are their limitations. We’ll introduce Boost.Dispatch over some examples ranging from simple library design to actual high performance computing code using the library to select best implementation of a function based on non-trivial architecture dependent information. Then we’ll dive into the implementation of the library and try to sketches the upcoming challenges yet to be solved.
Ruby plays to many programming paradigms. It's an object-oriented language that can be used in a functional or an imperative/procedural way. But Ruby does not often get used as a logic programming language. In this talk I'll explore logic programming using Ruby. What is it, and is it a tool you want to add to your toolbox? We'll touch on several libraries, we'll primary look at an implementation of minikanren (http://minikanren.org/) for Ruby.
Clojure is a new language that combines the power of Lisp with an existing hosted VM ecosystem (the Java VM). Clojure is a dynamically typed, functional, compiled language with performance on par with Java.
At the heart of all programming lies the need for abstraction, be it abstraction over our data or abstraction over the processes that operate upon it. Clojure provides a core set of powerful abstractions and ways to compose them. These abstractions are based in a heritage of Lisp but also cover many aspects of object-oriented programming as well.
This talk will examine these abstractions and introduce you to both Clojure and functional programming. Attendees are not expected to be familiar with either Clojure or FP.
REs and Python: Regular Expressions, Sequence Characters in Regular Expressions, Quantifiers in Regular Expressions, Special Characters in Regular Expressions, Using Regular Expressions on Files, Retrieving Information from a HTML File
Threading : Concurrent Programming and GIL, Uses of Threads, Creating Threads in Python, Thread Class Methods, Single Tasking using a Thread, Multitasking using Multiple Threads, Thread Synchronization Deadlock of Threads, Avoiding Deadlocks in a Program, Communication between Threads, Thread Communication using notify() and wait() Methods, Thread Communication using a Queue, Daemon Threads
Commit ускоривший python 2.7.11 на 30% и новое в python 3.5PyNSK
Автор доклада: Александр Сапронов.
Обзорный мини-доклад. В докладе вы найдете причину релиза 2.7.11 и новинки Python 3.5
Доклад сделан на 2 встрече сообщества PyNSK
Automatic Task-based Code Generation for High Performance DSELJoel Falcou
Providing high level tools for parallel programming while sustaining a high level of performance has been a challenge that techniques like Domain Specific Embedded Languages try to solve. In previous works, we investigated the design of such a DSEL – NT2 – providing a Matlab -like syntax for parallel numerical computations inside a C++ library.
Main issues addressed here is how liimtaions of classical DSEL generation and multithreaded code generation can be overcome.
Specifying function specializations over an arbitrary set of type constraints is a daunting task in C++ as soon as those constraints become more and more complex and/or grow in number. Various idioms are traditionally used to solve this problem: SFINAE or Tag Dispatching for example.
This talk introduces Boost.Dispatch, an infrastructure library that make Tag Dispatching easier to use and maintain by providing a protocol to define Tags and relationship between them, to map an arbitrary set of tags to a given function implementation and to extend said list of specialization in an open, modular way. The main new asset of Boost.Dispatch is the ability to use categorization of function properties and/or architectural information to guide the dispatch in addition to the more traditional use of type properties.
The talk will quickly brushes a picture of what SFINAE, overloading and Tag Dispatching mean in C++ and what are their limitations. We’ll introduce Boost.Dispatch over some examples ranging from simple library design to actual high performance computing code using the library to select best implementation of a function based on non-trivial architecture dependent information. Then we’ll dive into the implementation of the library and try to sketches the upcoming challenges yet to be solved.
Ruby plays to many programming paradigms. It's an object-oriented language that can be used in a functional or an imperative/procedural way. But Ruby does not often get used as a logic programming language. In this talk I'll explore logic programming using Ruby. What is it, and is it a tool you want to add to your toolbox? We'll touch on several libraries, we'll primary look at an implementation of minikanren (http://minikanren.org/) for Ruby.
Clojure is a new language that combines the power of Lisp with an existing hosted VM ecosystem (the Java VM). Clojure is a dynamically typed, functional, compiled language with performance on par with Java.
At the heart of all programming lies the need for abstraction, be it abstraction over our data or abstraction over the processes that operate upon it. Clojure provides a core set of powerful abstractions and ways to compose them. These abstractions are based in a heritage of Lisp but also cover many aspects of object-oriented programming as well.
This talk will examine these abstractions and introduce you to both Clojure and functional programming. Attendees are not expected to be familiar with either Clojure or FP.
REs and Python: Regular Expressions, Sequence Characters in Regular Expressions, Quantifiers in Regular Expressions, Special Characters in Regular Expressions, Using Regular Expressions on Files, Retrieving Information from a HTML File
Threading : Concurrent Programming and GIL, Uses of Threads, Creating Threads in Python, Thread Class Methods, Single Tasking using a Thread, Multitasking using Multiple Threads, Thread Synchronization Deadlock of Threads, Avoiding Deadlocks in a Program, Communication between Threads, Thread Communication using notify() and wait() Methods, Thread Communication using a Queue, Daemon Threads
Content personalisation is becoming more prevalent. A site, it's content and/or it's products, change dynamically according to the specific needs of the user. SEO needs to ensure we do not fall behind of this trend.
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldabaux singapore
How can we take UX and Data Storytelling out of the tech context and use them to change the way government behaves?
Showcasing the truth is the highest goal of data storytelling. Because the design of a chart can affect the interpretation of data in a major way, one must wield visual tools with care and deliberation. Using quantitative facts to evoke an emotional response is best achieved with the combination of UX and data storytelling.
Succession “Losers”: What Happens to Executives Passed Over for the CEO Job?
By David F. Larcker, Stephen A. Miles, and Brian Tayan
Stanford Closer Look Series
Overview:
Shareholders pay considerable attention to the choice of executive selected as the new CEO whenever a change in leadership takes place. However, without an inside look at the leading candidates to assume the CEO role, it is difficult for shareholders to tell whether the board has made the correct choice. In this Closer Look, we examine CEO succession events among the largest 100 companies over a ten-year period to determine what happens to the executives who were not selected (i.e., the “succession losers”) and how they perform relative to those who were selected (the “succession winners”).
We ask:
• Are the executives selected for the CEO role really better than those passed over?
• What are the implications for understanding the labor market for executive talent?
• Are differences in performance due to operating conditions or quality of available talent?
• Are boards better at identifying CEO talent than other research generally suggests?
A short and fast journey through some of the profiling options available in the Ruby 2.x world, including a look at flamegraphs and new ways of tracking memory usage in the MRI.
These are the outline slides that I used for the Pune Clojure Course.
The slides may not be much useful standalone, but I have uploaded them for reference.
OracleCode One 2018: Java 5, 6, 7, 8, 9, 10, 11: What Did You Miss?Henri Tremblay
Those are the slides for my presentation at OracleCode One 2018.
Java is moving faster and faster. A lot of features are not as known as they should be.
Let's review together the ones I think you've missed in old versions.
Then I will kickstart you on 9, 10 and 11 features that you never had time to look at.
Lisp Macros in 20 Minutes (Featuring Clojure)Phil Calçado
"We just started holding 20 minutes presentations during lunch time in the ThoughtWorks Sydney office. For the first session I gave a not-that-short talk on Lisp macros using Clojure. The slides are below.
It turns out that 20 minutes is too little time to actually acquire content but I think at least we now have some people interested in how metaprogramming can be more than monkey patching."
http://fragmental.tw/2009/01/20/presentation-slides-macros-in-20-minutes/
Title
Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark + Jupyter + TPU
Video
https://youtu.be/vaB4IM6ySD0
Description
In this workshop, we build real-world machine learning pipelines using TensorFlow Extended (TFX), KubeFlow, and Airflow.
Described in the 2017 paper, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google.
KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking.
Airflow is the most-widely used pipeline orchestration framework in machine learning.
Pre-requisites
Modern browser - and that's it!
Every attendee will receive a cloud instance
Nothing will be installed on your local laptop
Everything can be downloaded at the end of the workshop
Location
Online Workshop
Agenda
1. Create a Kubernetes cluster
2. Install KubeFlow, Airflow, TFX, and Jupyter
3. Setup ML Training Pipelines with KubeFlow and Airflow
4. Transform Data with TFX Transform
5. Validate Training Data with TFX Data Validation
6. Train Models with Jupyter, Keras/TensorFlow 2.0, PyTorch, XGBoost, and KubeFlow
7. Run a Notebook Directly on Kubernetes Cluster with KubeFlow
8. Analyze Models using TFX Model Analysis and Jupyter
9. Perform Hyper-Parameter Tuning with KubeFlow
10. Select the Best Model using KubeFlow Experiment Tracking
11. Reproduce Model Training with TFX Metadata Store and Pachyderm
12. Deploy the Model to Production with TensorFlow Serving and Istio
13. Save and Download your Workspace
Key Takeaways
Attendees will gain experience training, analyzing, and serving real-world Keras/TensorFlow 2.0 models in production using model frameworks and open-source tools.
Related Links
1. PipelineAI Home: https://pipeline.ai
2. PipelineAI Community Edition: http://community.pipeline.ai
3. PipelineAI GitHub: https://github.com/PipelineAI/pipeline
4. Advanced Spark and TensorFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup
5. YouTube Videos: https://youtube.pipeline.ai
6. SlideShare Presentations: https://slideshare.pipeline.ai
7. Slack Support: https://joinslack.pipeline.ai
8. Web Support and Knowledge Base: https://support.pipeline.ai
9. Email Support: support@pipeline.ai
String Comparison Surprises: Did Postgres lose my data?Jeremy Schneider
Comparisons are fundamental to computing - and comparing strings is not nearly as straightforward as you might think. Come learn about the history, nuance and surprises of “putting words in order” that you never knew existed in computer science, and how that nuance impacts both general programming and SQL programming. Next, walk through a few actual scenarios and demonstrations using PostgreSQL as a user and administrator, which you can re-run yourself later for further study, including one way you could easily corrupt your self-managed PostgreSQL database if you aren't prepared. Finally we’ll dive into an explanation of the surprising behaviors we saw in PostgreSQL, and learn more about user and administrative features PostgreSQL provides related to localized string comparison.
Introduction to source{d} Engine and source{d} Lookout source{d}
Join us for a presentation and demo of source{d} Engine and source{d} Lookout. Combining code retrieval, language agnostic parsing, and git management tools with familiar APIs parsing, source{d} Engine simplifies code analysis. source{d} Lookout, a service for assisted code review that enables running custom code analyzers on GitHub pull requests.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
3. Was this method pulled up?
Who introduced
this class?
Who has made changes to
my classes?
History Questions
How often is this method
Why were these changes changed?
introduced? Template-based Reconstruction of Complex Refactorings
Kyle Prete, Napol Rachatasumrit, Nikita Sudan, Miryung Kim
International Conference on Software Maintenance (ICSM), p.1--10, 2010
Using Information Fragments to Answer the Questions Developers Ask
Thomas Fritz and Gail C. Murphy
International Conference on Software Engineering (ICSE), p.175--184, 2010
3
4. Was this method pulled up?
Who introduced
this class?
Who has made changes to
my classes?
History Questions
How often is this method
Why were these changes changed?
introduced? Template-based Reconstruction of Complex Refactorings
Kyle Prete, Napol Rachatasumrit, Nikita Sudan, Miryung Kim
International Conference on Software Maintenance (ICSM), p.1--10, 2010
Using Information Fragments to Answer the Questions Developers Ask
Thomas Fritz and Gail C. Murphy
International Conference on Software Engineering (ICSE), p.175--184, 2010
3
5. Pulled up Method
1 pull_up_method(fShortName, tChildFullName, tParentFullName) :-
2 move_method(fShortName, tChildFullName, tParentFullName) ^
3 before_subtype(tParentFullName, tChildFullName)
Template-based Reconstruction of Complex Refactorings
Kyle Prete, Napol Rachatasumrit, Nikita Sudan, Miryung Kim
International Conference on Software Maintenance (ICSM), p.1--10, 2010
4
7. Version Control Systems
Version Version
3a 4a
Version
Version 1 Version 2 5
Version Version
3b 4b
5
8. History Query Tool
Pr Graph Query
og Language
ra
La m
od ry
ng Q Move through the
sto
el
ua ue version graph
Hi
ge ry
M
Source code of each version
Specify characteristics Commit information
in a single version Entity tracking
...
6
9. QwalKeko
Pr Graph Query
og Language
ra
La m
od ry
ng Q Qwal
sto
el
ua ue
Hi
ge ry
M
Ekeko +
7
10. Applicative LMP
... specify code characteristics through Ekeko relations,
leave search to core.logic
collection of all substitutions for ?s and ?e
(run* [?s ?e]
(ast :ReturnStatement ?s)
(has :expression ?s ?e)
(ast :NullLiteral ?e))
such that the following Ekeko relations hold:
ast/2 holds for :ReturnStatement, ?s ?e is the value of the
property
has/3 holds for :expression, ?s, and ?e
named :expression of
([?s1 ?e2] ... [?sn ?en]) ast/2 holds for :NullLiteral, ?e ASTNode ?s
([#<ReturnStatement return null;
#<NullLiteral null>]
...
actual search performed by
[#<ReturnStatement return null; core.logic
#<NullLiteral null>]) 8
software repositories are a large source of information regarding the history / evolution of a software project\nprogrammers have questions\n
\n
\n
\n
Explain their method -> 2 eclipse projects, create factbase, use prologlike language\nGoal: reimplement these kind of rules, generalize them\nNeed source of information\n
