WWW.AMDPA.COM - Fêtes japonaises Les fêtes traditionnelles Le Japon est empreint de traditions et de fêtes.Tout au long de l’année, les Japonais célèbrent leurs habitants et leur pays. Ces commémorations montrent le respect et l’attachement qu’ont les Japonais pour leurs enfants, les personnes âgées, la nature et leur pays.Voici quelques exemples de fêtes importantes dans l’année et permettant l’élaboration du sentiment national, si développé, dès le plus jeune âge. Le deuxième lundi de janvier : Seijin no hi, Journée de l'entrée dans l'âge adulte En l’honneur des jeunes gens qui fêtent leurs 20 ans pendant l’année scolaire, des cérémonies célèbrent dans tout le pays cet anniversaire qui symbolise le passage à l’âge adulte et à l’indépendance. Le 3 février : Setsubun, Cérémonie du lancement des haricots secs A la veille du printemps japonais, ils jettent des haricots secs pour chasser les démons et s’attirer la chance. Le 11 février : Kenkoku kinen no hi, Jour de la fondation du pays Bien sûr, les papas ne sont pas oubliés.
Why I still use use cases XP pretty much banned use cases, replacing them with the similar sounding “user stories” (see A user story is to a use case as a gazelle is to a gazebo (discussion: Re: A user story is to a use case as a gazelle is to a gazebo)}, and as a result agile zealots have been happy to dump use cases in the trash (along with their project managers, estimates, plans, and architectures). Scrum did similar, using the “product backlog” instead of user stories. Yet as I go around projects, I keep running across organizations suffering from three particular, real, painful, and expensive problems: User stories and backlog items don’t give the designers a context to work from – when is the user doing this, and what is the context of their operation, what is their larger goal at this moment? Use cases are, indeed, heavier and more difficult than either user stories or backlog items, but they bring value for that extra weight. As not-Einstein said: “Make things as simple as possible, but no simpler.” s.
Java Behavior-Driven Development with JBehave This video explains how to do Behavior-Driven Development (BDD) with JBehave in a Java software development context. In BDD, Product Owners and team members focus on the problem domain and develop a common language for expressing a product’s desired behavior as stories and acceptance test criteria. Developers can then map the stories and criteria on their test code to verify application behavior. The video presents the concept of BDD and how to write user stories. Video Producer: San Francisco Java User Group Video source and presentation slides Related Posts: How To Implement Scrum in 10 Easy Steps When I first encountered agile development, I found it hard to understand. Okay, I might not be the brightest person you’ve ever met! But I’m not stupid either, I think :-) There’s a myriad of different approaches, principles, methods and terms, all of which are characterised as ‘Agile’. For this reason, I favour the Scrum agile methodology. Sure, it’s great to have a deep understanding of the underlying values and principles of agile development. Sure, it’s great to have a thorough understanding of why Scrum works. Sure, it’s great to know lots of case studies where Scrum has been applied and try to relate them to your own individual situation. But, fundamentally, I believe you can implement Scrum without all this knowledge. In these 10 posts, I outline specifically how to implement Scrum in 10 easy steps: – Step #1: Get your backlog in order! Kelly. See also:‘Implementing Scrum’ PowerPoint Presentation10 Key Principles of Agile Software Development
Unsupervised Anomaly Detection in Python | by Edwin Tan Anomaly detection also known as outlier detection is the process of finding data points within a dataset that differs from the rest. Common applications of anomaly detection includes fraud detection in financial transactions, fault detection and predictive maintenance. Broadly speaking, anomaly detection can be categorized into supervised and unsupervised realm. Supervised anomaly detection requires labelled dataset that indicates if a record is “normal” or “abnormal”. Unsupervised anomaly detection involves an unlabeled dataset. It assumes that the majority data points in the unlabeled dataset are “normal” and it looks for data points that differs from the “normal” data points. In this article, we will be using Pycaret for detecting anomalies. Let’s start by installing PyCaret. pip install pycaret==2.3.5pip install scipy==1.4.1 Import the necessary modules from pycaret.anomaly import *from sklearn.datasets import load_breast_cancer Load the dataset Set up Pycaret Check available models
Applying Use Cases in Agile: Use Case 2.0, Slicing and Laminating To incrementally develop and deliver products using agile software development, requirements are gathered and organized into a product backlog. A requirement technique that is used in agile software development is use cases. Some techniques to apply use cases for managing product requirements in agile are use case 2.0, slicing and laminating. Shobha Rangasamy Somasundaram and Amol Sharma wrote a blog post about can formal requirement methods work for agile in which they compare the usage of requirements between waterfall and agile software development: In traditional software development or waterfall process, the following methods are used during the requirements phase - brain storming, questionnaire, modeling, prototyping, observation, focus group, survey, reverse engineering, interview, document analysis, workshop for joint application development (JAD) - collaboration & domain model creation. Andy Hayward explored different requirement techniques in a series of blog post.
Is there a test case management solution which supports BDD? Hi Everyone, I have been digging all over the web for 2 weeks now and I have yet to find any information on this topic. I come from a more traditional model of software testing. Example: using a tool like HP Quality Center, we would import requirements, then write and link test cases to all requirements. These test cases would then be grouped into test suites then at the time of test execution we would create a test run then pull in X number of the test suites we wanted to run. Then of course each test would have a Pass or Fail, any detected bugs would be logged and the Fix-Build-Test process would loop multiple times time the product was ready to ship. From this perspective, to me BDD really breaks this whole traditional design. If all the "test" are now written in feature files and user story acceptance criteria, NOT inside a test management tool. Using the BDD process, I cannot get an understanding on how I can do this. We are a .Net shop so I want to use a tool like SpecFlow. Thank you,
promisedata - Data for reusable SE experiments What is PROMISE? PROMISE= PRedictOr Models In Software Engineering. Mantra= Software management decisions should be based on well-understood and well-supported predictive models. Collecting data from real world software engineering projects is problematic. Since the data is difficult to attain, we need to make better use of the whatever data is available. Hence, this site. Frequently asked questions: FAQ1: How to reference this data? T. FAQ2: How to view the data? Just read the on-line files. FAQ3: This repo reports "Sorry, truncated results. View the data via the simpler web-based Subversion interface. e.g. see FAQ4: How to read/write comments on the data? Go to the on-line wiki. FAQ5: How to report a bug with the data? Add an issue. FAQ6: How to contribute new data? Place it on-line somewhere then report new data. FAQ7: How to meet the PROMISE community? Come along to the annual conference on predictive models in SE 2012: co-located with ESEM'12
« 2021 a tout simplement été la meilleure année de l’histoire de Blackstone, la plus grande société au monde d’investissement en capital privé » Pour ses 75 ans, le 14 février, Stephen Schwarzman a reçu un beau cadeau de la part de l’entreprise qu’il a fondée en 1985 : un chèque d’un milliard de dollars (environ 895 millions d’euros). Une somme qui ne représente que ses revenus pour l’année 2021. En plus de son salaire somme toute modeste de 350 000 dollars, le PDG de Blackstone s’est vu gratifié de 160 millions de dollars de compensations, liées à la performance exceptionnelle de l’entreprise en 2021. Une somme déjà considérable puisqu’elle est plus de quatre fois supérieure à la paye des patrons de Morgan Stanley ou de Goldman Sachs, les deux banquiers parmi les mieux payés de la planète. A cela s’ajoute une énorme cerise sur ce gâteau déjà bien épais, près de 940 millions de dollars au titre des dividendes sur ses actions Blackstone, soit 19 % du capital. Il faut dire que 2021 a tout simplement été la meilleure année de l’histoire de la plus grande société au monde d’investissement en capital privé, le « private equity ».