Rise and fall of Story Points. Capacity based planning from the trenches.
4 likes2,351 views
Люди в мире Agile используют Story Points - для Agile коучей и тренеров это самый простой способ объяснить, как следует проводить оценку и планирование в «новом мире». Но тогда эта простая концепция нарушает реальные практические кейсы. В настоящее время команды состоят из очень специализированных людей, работающих над бэкендом, фронтэндом, тестировании, инфраструктуре и прочим. Для них почти невозможно иметь общий уровень сложности. Это только одна из проблем, которые мы собираемся осветить в этом докладе. Чтобы оставаться конструктивным, а не просто старомодным парнем из XP, Николай поделится своим опытом с более точной и прагматичной техникой оценки/планирования - планированием на основе возможностей.
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![Detailed instructions
Define and agree focus factor for each team member,
taking into account all aspects
Specify seniority factor to balance hours [OPTIONAL]
Use main competence of team members for grouping
Fill team individual Sprint calendars (1 – full day, 0.5 –
half day, 0.25 – couple of hours)
Mark team events and time consuming meetings
Calculate total capacity by competence](https://image.slidesharecdn.com/riseandfallofstorypoints-200229163545/85/Rise-and-fall-of-Story-Points-Capacity-based-planning-from-the-trenches-35-320.jpg)
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DevOps checklist or how to understand where is your team in DevOps landscape ...Mikalai Alimenkou DevOps become a buzzword in a last few years. Several companies, development and product teams have achieved quite impressive results in this area making cultural changes, transforming their processes and practices, introducing new roles, tools and techniques.
Do you think is achievable for you team or it’s still a bunch of drama? There is no common approach for measuring achievements and understanding how much DevOps’ich the current team/company is. In this talk I will provide attendees with basic checklist to start with and some reliable tools/techniques to monitor progress of “DevOps transformation”.
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DevOps checklist or how to understand where is your team in DevOps landscapeMikalai Alimenkou DevOps is a hot topic during last several years. Some companies, teams and products have achieved quite impressive results in this area making cultural changes, transforming their processes and practices, introducing new roles, tools and techniques. At the same time there is no common approach for measuring achievements and understanding “how DevOps” the current team/company is. In this talk I will provide attendees with basic checklist to start with and some reliable tools/techniques to monitor progress of “DevOps transformation”.
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Hexagonal architecture with Spring Boot [EPAM Java online conference]Mikalai Alimenkou Nowadays traditional layered monolithic architecture in Java world is not so popular as 5-10 years ago. I remember how we wrote tons of code for each layer repeating almost the same parts for every application. Add unit and integration testing to understand how much time and efforts has been spent on repeatable work. All cool ideas around DDD (domain driven design) and Hexagonal Architecture was just a nice theory because reality hasn’t allow us to implement it easily. Even Dependency Injection with Spring framework was completely focused on traditional layered approach, not even talking about JavaEE platform.
Today we have Spring Boot ecosystem covering most of our needs for integration with almost all possible technologies and microservices architectural trend, enabling completely new approach to build Java applications around domain model. It is so natural to build Java domain-oriented services and connect them with external world using ports and adapters, that Hexagonal Architecture is almost enabled by default. You just need to switch your way of thinking…
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Bro, manage test data like a pro! [QA Fest 2018]Mikalai Alimenkou This document provides guidance on effectively managing test data for software testing. It discusses 6 approaches to preparing test data: 1) using the user interface, 2) inserting data via API calls, 3) direct SQL insertion into the database, 4) using data sets with DBUnit, 5) versioned data dumps, and 6) reusing production data. The key recommendations are to choose the approach that best fits the system under test, speed up test data management with APIs, reuse live data when possible, and mix strategies as needed to build reliable test cases.
Hexagonal architecture with Spring Boot
Hexagonal architecture with Spring BootMikalai Alimenkou Nowadays traditional layered monolithic architecture in Java world is not so popular as 5-10 years ago. I remember how we wrote tons of code for each layer repeating almost the same parts for every application. Add unit and integration testing to understand how much time and efforts has been spent on repeatable work. All cool ideas around DDD (domain driven design) and Hexagonal Architecture was just a nice theory because reality hasn’t allow us to implement it easily. Even Dependency Injection with Spring framework was completely focused on traditional layered approach, not even talking about JavaEE platform.
Today we have Spring Boot ecosystem covering most of our needs for integration with almost all possible technologies and microservices architectural trend, enabling completely new approach to build Java applications around domain model. It is so natural to build Java domain-oriented services and connect them with external world using ports and adapters, that Hexagonal Architecture is almost enabled by default. You just need to switch your way of thinking…
Bro, manage test data like a pro!
Bro, manage test data like a pro!Mikalai Alimenkou Almost any application or software system manages data. It is hard to imagine test automation that is not affected by this fact. There are many differenct approaches how to prepare system under test, providing predefined test data: use application UI, invoke API methods, run business logic directly, access DB from test scenarios, etc. In this talk we will review most of existing approaches, starting from the easiest and the most popular ones and finishing with really tricky ways to manage your test data for large distributed systems. There is no ideal solution for every case or silver bullet, but I hope your toolset will become wider after visiting this talk.
Бытовая классификация тестировщиков с точки зрения разработчика
Бытовая классификация тестировщиков с точки зрения разработчикаMikalai Alimenkou Тестировщики часто говорят о противостоянии и конфликтах с разработчиками. Но ведь есть команды, где все живут в мире и согласии. Видимо что-то тут не так? Я хочу поговорить о том, как тестировщиков видят сами разработчики. В докладе будет проведена забавная классификация. Кроме известного всем тестировщика-обезьянки будут представлены тестировщик-муха, тестировщик-нацист, тестировщик-панда и многие другие герои. Высможете лишний раз задуматься над тем, как вас видят со стороны и, возможно, изменить ситуацию к лучшему.
Доклад будет также полезен менеджерам проектов и лидерам команд. Вы сможете быстрее распознавать те или иные шаблоны поведения тестировщикови принимать меры по повышению уровня командной работы. Приходите, будет интересно!
Code Review tool for personal effectiveness and waste analysis
Code Review tool for personal effectiveness and waste analysisMikalai Alimenkou Usually it is hard to analyze personal effectiveness and detect wastes in development process because developer’s work decomposition is not transparent and available for analysis. As a good sample of ineffective process imagine developer, who spends 1 day on task implementation and then reimplements it several times according to code review notes during next 2 days. Or another developer, who is waiting for code review during 2 days, switching context to other tasks, finally gets notes and switches back to initial task, trying to refresh all details in his head. And so on and so forth…
Code review tool usage helps to aggregate lots of useful information about any code change at any stage (static analysis, code review, rework, acceptance, integration into main branch). In this talk I’m going to demontrate how this information could be used for detailed analysis of development effectiveness and wastes detection. Based on mentioned analysis you could implement many improvements for your development process and then measure their success.
Funny stories and anti-patterns from DevOps landscape
Funny stories and anti-patterns from DevOps landscapeMikalai Alimenkou During last several years DevOps became strong buzzword used almost in every project, team and company. But almost everywhere it is used in very funny and strange context. For example, existing ops guys are renamed to DevOps just to sell them to the client for more money. Or DevOps is used as new job title for some magically powerful person who is able to operate cloud environment and modern infrastructure related tools, leading team of old school ops and participating in management meetings. In this talk I’m going to review all different anti-patterns and bad practices in DevOps landscape using stories from my personal experience as Delivery Manager and independent consultant.
Developer + tester = quality++
Developer + tester = quality++Mikalai Alimenkou With Agile adoption many things have changed in quality assurance and tester role. Ourdays the whole team is responsible for product quality. But not so many people understand how such high level approaches work in practice, how developer interacts with tester, what stages each task passes on the way from requirements specification to customer acceptance, who is doing what at each stage.
I have met only few teams, where developer and tester work closely together on a daily basis. Some projects try to same money on developer's time, others try to have independent testing team without influence from developers side. Developers also don't understad how tester could help them in practice. But this pair is able to significantly improve product quality and avoid many common issues.
In this talk we will cover motivation behind pair work of develoeper and tester, concrete practices and approaches at different stages, and advantages that both sides could achieve from such work style.
Continuous improvements of developer efficiency with modern IDE
Continuous improvements of developer efficiency with modern IDEMikalai Alimenkou Nowadays IDE are much more intelligent than 10 years ago when they played mainly code editor functions. At the same time number of good practices and techniques is growing from day to day and most developers don’t have time to learn them with the same pace. So it could be a good idea to use IDE as continuous learning tool. In this talk we will cover following areas of developer efficiency: automated refactorings, live templates, useful suggestions, code standards, code navigation, code generation… I hope after this talk your daily job will become much more effective.
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