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When refactoring do you write tests before?

This article is from BMC Bioinformatics , volume 15 . Abstract Background: Scientific workflows management systems are increasingly used to specify and manage bioinformatics experiments. Their programming model appeals to bioinformaticians, who can use them to easily specify complex data processing pipelines. Such a model is underpinned by a graph structure, where nodes represent bioinformatics tasks and links represent the dataflow. The complexity of such graph structures is increasing over time, with possible impacts on scientific workflows reuse. In this work, we propose effective methods for workflow design, with a focus on the Taverna model. We argue that one of the contributing factors for the difficulties in reuse is the presence of "anti-patterns", a term broadly used in program design, to indicate the use of idiomatic forms that lead to over-complicated design. The main contribution of this work is a method for automatically detecting such anti-patterns, and replacing them with different patterns which result in a reduction in the workflow's overall structural complexity. Rewriting workflows in this way will be beneficial both in terms of user experience (easier design and maintenance), and in terms of operational efficiency (easier to manage, and sometimes to exploit the latent parallelism amongst the tasks). Results: We have conducted a thorough study of the workflows structures available in Taverna, with the aim of finding out workflow fragments whose structure could be made simpler without altering the workflow semantics. We provide four contributions. Firstly, we identify a set of anti-patterns that contribute to the structural workflow complexity. Secondly, we design a series of refactoring transformations to replace each anti-pattern by a new semantically-equivalent pattern with less redundancy and simplified structure. Thirdly, we introduce a distilling algorithm that takes in a workflow and produces a distilled semantically-equivalent workflow. Lastly, we provide an implementation of our refactoring approach that we evaluate on both the public Taverna workflows and on a private collection of workflows from the BioVel project. Conclusion: We have designed and implemented an approach to improving workflow structure by way of rewriting preserving workflow semantics. Future work includes considering our refactoring approach during the phase of workflow design and proposing guidelines for designing distilled workflows.

Concepts, goals, implementations and the lessons learned from rewriting qaul.net decentralized messenger in rust. qaul.net is a Internet independent wifi mesh communication app with fully decentralized messaging, file sharing and voice chat. At the moment we are rewriting the entire application in rust, implementing our experience of 8 years off the grid peer2peer mesh communication, with a mobile first approach and a network agnostic routing protocoll wich can do synchronous as well as delay tolerant messaging. We are currently rewriting qaul.net 2.0 in rust with a new network agnostic routing protocol, identity based routing and delay tolerant messaging. The talk will show our learnings and the journey ahead of us at the alpha stage of the rewrite. * Homepage: https://qaul.net * Code Repository: https://git.open-communication.net/qaul/qaul.net Source: https://media.ccc.de/v/36c3-oio-143-refactoring-qaul-net-in-rust-internet-independent-mesh-communication-app- Uploader: tubeup.py

Are software devs ok with other devs refactoring their code?

Are software devs ok with other devs refactoring their code?

Ben talks with John Norman about his process and modified approach to the delivery, payment, and tech of modern managed health care. They also touch on age bias in the programming world, living a purpose-driven life, and dealing with startup growth.Iora Health"The Hot Spotters"- Atul GawandeThe Healing of America- T.R. ReidWellnessFXAgile ManifestoHIPAABeing Mortal- Atul Gawande"How to Scale a Development Team"- Adam Wiggins"The Double Diamond Model of Product Definition and Design"- Peter MerholzJohn on TwitterSupport Giant Robots Smashing Into Other Giant Robots

Refactoring is an activity that improves the internal structure of the code without altering its external behavior. When performed on the production code, the tests can be used to verify that the external behavior of the production code is preserved. However, when the refactoring is performed on test code, there is no safety net that assures that the external behavior of the test code is preserved. In this paper, we propose to adopt mutation testing as a means to verify if the behavior of the test code is preserved after refactoring. Moreover, we also show how this approach can be used to identify the part of the test code which is improperly refactored.

Contact information Contravariance's website Contravariance's Twitter Benedikt's Twitter Bas' Twitter Benedikt's blog Bas' blog Refactoring NSURLConnection Joachim Kurz on Twitter JSONSerialization Emoji Apple fixes bagel emoji The pizza emoji is broken Pencil emoji Comparing ant emoji

02. Refactoring to patterns -Angel Nunez (12-06-04-20-42-04) Album: CodePassion 2012 Editor: Mozilla Peru

The standard approach to generating test suites, manual generation of the test inputs in the suite, is tedious and error-prone, especially for code that takes complex test inputs. This talk presents our approach that automates generation of test suites using test abstractions. Conceptually, test abstractions provide a high-level description of desired test suites; developers do not need to manually write large suites of individual tests but instead write test abstractions from which tools automatically generate individual tests. This approach has helped developers in both academia and industry to discover errors in several real applications. This talk illustrates the approach on testing refactoring engines using imperative test abstractions. Refactorings are behavior-preserving program transformations that improve program design, and refactoring engines are tools that automate the application of refactorings. Refactoring engines are a key component of modern IDEs such as Visual Studio, Eclipse, or NetBeans. A bug in a refactoring engine can have severe consequences as it can erroneously change large bodies of source code. Test inputs for refactoring engines are programs, and the core of our testing of refactoring engines is a framework for generation of abstract syntax trees that represent Java programs. Using this framework, we discovered 21 new bugs in Eclipse and 24 in NetBeans. We didn't test Visual Studio. This is joint work with Brett Daniel, Danny Dig, Kely Garcia, Vilas Jagannath, and Yun Young Lee ©2008 Microsoft Corporation. All rights reserved.

In the fourteenth part of this walkthrough we talk about refactoring your code. Playlist: https://www.youtube.com/playlist?list=PL0EZQ169YGlor5rzeJEYYPE3tGYT2zGT2 Code: https://github.com/thPion/Screeps-Nooby-Guide/tree/Part14Refactoring Screeps Website: http://bit.ly/28OBWtJ Screeps Steam: http://bit.ly/28Qjp3a This video was produced with a free review copy provided by the developer. My Twitch: https://twitch.tv/th_pion My Twitter: https://twitter.com/th_pion Want to get your YT channel in my Fav box? Check out my Patreon page: http://www.patreon.com/th_pion Other Stuff I do: What is...?: https://www.youtube.com/watch?v=GyKtGkW6jEo&list=PL0EZQ169YGlrurP7KmPIKOpHPaST_w62i Pion's Primal Perception: https://www.youtube.com/playlist?list=PL0EZQ169YGlrlZgGkyM5Em76GCW3Z6zUh Pion's Perspective: https://www.youtube.com/watch?v=m8n_0KObKcU&list=PL0EZQ169YGlrHMIpecNbe-GzPXMJr_Oll Source: https://www.youtube.com/watch?v=6b-ZZ6bROWI Uploader: th_pion

In the fourteenth part of this walkthrough we talk about refactoring your code. Playlist: https://www.youtube.com/playlist?list=PL0EZQ169YGlor5rzeJEYYPE3tGYT2zGT2 Code: https://github.com/thPion/Screeps-Nooby-Guide/tree/Part14Refactoring Screeps Website: http://bit.ly/28OBWtJ Screeps Steam: http://bit.ly/28Qjp3a This video was produced with a free review copy provided by the developer. My Twitch: https://twitch.tv/th_pion My Twitter: https://twitter.com/th_pion Want to get your YT channel in my Fav box? Check out my Patreon page: http://www.patreon.com/th_pion Other Stuff I do: What is...?: https://www.youtube.com/watch?v=GyKtGkW6jEo&list=PL0EZQ169YGlrurP7KmPIKOpHPaST_w62i Pion's Primal Perception: https://www.youtube.com/playlist?list=PL0EZQ169YGlrlZgGkyM5Em76GCW3Z6zUh Pion's Perspective: https://www.youtube.com/watch?v=m8n_0KObKcU&list=PL0EZQ169YGlrHMIpecNbe-GzPXMJr_Oll Source: https://www.youtube.com/watch?v=6b-ZZ6bROWI Uploader: th_pion

In the fourteenth part of this walkthrough we talk about refactoring your code. Playlist: https://www.youtube.com/playlist?list=PL0EZQ169YGlor5rzeJEYYPE3tGYT2zGT2 Code: https://github.com/thPion/Screeps-Nooby-Guide/tree/Part14Refactoring Screeps Website: http://bit.ly/28OBWtJ Screeps Steam: http://bit.ly/28Qjp3a This video was produced with a free review copy provided by the developer. My Twitch: https://twitch.tv/th_pion My Twitter: https://twitter.com/th_pion Want to get your YT channel in my Fav box? Check out my Patreon page: http://www.patreon.com/th_pion Other Stuff I do: What is...?: https://www.youtube.com/watch?v=GyKtGkW6jEo&list=PL0EZQ169YGlrurP7KmPIKOpHPaST_w62i Pion's Primal Perception: https://www.youtube.com/playlist?list=PL0EZQ169YGlrlZgGkyM5Em76GCW3Z6zUh Pion's Perspective: https://www.youtube.com/watch?v=m8n_0KObKcU&list=PL0EZQ169YGlrHMIpecNbe-GzPXMJr_Oll Source: https://www.youtube.com/watch?v=6b-ZZ6bROWI Uploader: th_pion

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Video content can be found here: https://www.youtube.com/channel/UC0BAd8tPlDqFvDYBemHcQPQ/

Artist : BXP / Amousement Title : Refactoring Genre : IDM (Description curated by Marco Stilo) Warm winter lights. To listen to the brand new release by Bxp vs. Amousement Refactoring is an important exercise. You have the chance to taste again dub tunes by someone who mixes and melts it to his liking with the current eletronic influences. Stop yourself. There’s not so much to think about, it’s time to pack one’s bags and leave. Across the trip during which the two artists decide to meet up mixing Bxp’s groove with the acid bass lines by Amousement, I realize how it’s still possible to move from typical ambient sounds to a dancefloor mood. But that’s it, difficult to trust, but easy to get after just one listen. In the four tracks, there’s a on-going debate and dialog between two producers who won’t be so unlikely to meet in the most prominent clubs around Europe. Inclinations. Links: Sostanze Records | SoundCloud | Facebook | Twitter | YouTube

Robby speaks with Jason Swett, Software Engineer at Meadows Eye. They discuss the value of understandability, differences between loose and tight coupling in code, and creating a shared vision as a team. Jason also discusses how teams struggle to retain quality engineers and how to teach testing to Ruby on Rails developers.

Please let us know your take-away of this episode by sharing it with us @_contravariance. An iTunes review is also greatly appreciated! Contact information Contravariance's website GitHub repository Contravariance's Twitter Benedikt's Twitter Bas' Twitter Benedikt's blog Bas' blog Swift Island Swift Island Swift Aveiro The Swift Alps Personal Projects SwiftConf Ray Wenderlich Swift Weekly Brief Appventure.me Appventure.me's Static Site Generator Live Reloading John's Static Site Generator progress The Swift Community Podcast: SwiftUI First Impressions iPadOS Scene support An Introduction to iPadOS Catalyst Benedikt's Catalyst Guide Touch Bar Documentation Antoine van der Lee Project of the week...ish Bismuth Gosh Darn SwiftUI

Replaced by https://www.youtube.com/watch?v=p_cz7AxVdfg (better audio) For Go 1.5, the standard library gained a new package. The Go type checker, go/types, is the foundation for several static analysis tools that can help Go programmers understand, navigate, and refactor their code. In this talk, Alan Donovan will demonstrate these tools and explain the concepts of the go/types API so that you can use it in your own projects. Alan Donovan is a Staff Engineer in Google's infrastructure division in New York, specializing in software-development tools. In 2005, he initiated and led the development of Google's proprietary build system, now open-sourced as Bazel, and has contributed to Google's production monitoring and cluster configuration tools. Since 2012, he has been working on the Go team, designing libraries and tools for static analysis. He is the author of the Go oracle, godoc -analysis, eg, and gorename tools, and is the co-author, with Brian Kernighan, of the forthcoming book The Go Programming Language . See http://gothamgo.com/program#alan_donovan

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For more information refer to the talk page .

For more information refer to the talk page .

How Go can better help refactoring of the overall package structure of your code. Russ Cox has helped to create the Go Programming Language since 2008, when the language was still just a prototype. His work there started with the Go compiler and runtime, and developing Go's standard library. Today, he is a co-Tech Lead for the Go project and the Go team (a role he shares with Rob Pike).

In this episode, Adam and Steve Schoger answer listener questions about UI design, and share all of the details about their upcoming book and design resource Refactoring UI.

Ongoing investigations for the improvement of Geant4 accuracy and computational performance resulting by refactoring and reengineering parts of the code are discussed. Issues in refactoring that are specific to the domain of physics simulation are identified and their impact is elucidated. Preliminary quantitative results are reported.

Hello everyone, Asahi Lina here! More cool Rust coming! Let's get more new Rust for Linux features going and see how much cleaner we can make the code! 🚀 Gary fixed all the pin-init issues I mentioned (thank you!!! ✨) and we also have ARef to experiment with! Also, can we make some progress on the missing abstractions? 🦀 Follow me on Twitter and Mastodon! ▶︎ https://twitter.com/LinaAsahi ▶︎ https://vt.social/@lina Model artwork by 七乃ななせ @NananoNanase ▶︎ https://twitter.com/NananoNanase ▶︎ https://youtube.com/NananoNanase Character design by しらぬい ▶︎ https://twitter.com/shiranui_illust Animated using Inochi2D by Luna the Foxgirl @LunaTheFoxgirl ▶︎ https://vt.social/@LunaFoxgirlVT ▶︎ https://vt.social/@Inochi2D Stream design, video production, and BGM by soundflora* @soundflora* ▶︎ https://twitter.com/soundflora ▶︎ https://youtube.com/soundflora Listen to my background music here! ▶︎ https://youtu.be/lgJL26Mn8kw Additional assets ▶︎ https://booth.pm/en/items/3570469 ▶︎ https://booth.pm/en/items/3282463 ▶︎ https://booth.pm/en/items/3107048

Decisions on which classes to refactor are fraught with difficulty. The problem of identifying candidate classes becomes acute when confronted with large systems comprising hundreds or thousands of classes. In this paper, we describe a metric by which key classes, and hence candidates for refactoring, can be identified. Measures quantifying the usage of two forms of coupling, inheritance and aggregation, together with two other class features (number of methods and attributes) were extracted from the source code of three large Java systems. Our research shows that metrics from other research domains can be adapted to the software engineering process. Substantial differences were found between each of the systems in terms of the key classes identified and hence opportunities for refactoring those classes varied between those systems.

Decisions on which classes to refactor are fraught with difficulty. The problem of identifying candidate classes becomes acute when confronted with large systems comprising hundreds or thousands of classes. In this paper, we describe a metric by which key classes, and hence candidates for refactoring, can be identified. Measures quantifying the usage of two forms of coupling, inheritance and aggregation, together with two other class features (number of methods and attributes) were extracted from the source code of three large Java systems. Our research shows that metrics from other research domains can be adapted to the software engineering process. Substantial differences were found between each of the systems in terms of the key classes identified and hence opportunities for refactoring those classes varied between those systems.

User Interfaces (UIs) intensively rely on event-driven programming: widgets send UI events, which capture users' interactions, to dedicated objects called controllers. Controllers use several UI listeners that handle these events to produce UI commands. First, we reveal the presence of design smells in the code that describes and controls UIs. Second, we demonstrate that specific code analyses are necessary to analyze and refactor UI code, because of its coupling with the rest of the code. We conducted an empirical study on four large Java Swing and SWT open-source software systems. We study to what extent the number of UI commands that a UI listener can produce has an impact on the change- and fault-proneness of the UI listener code. We develop a static code analysis for detecting UI commands in the code. We identify a new type of design smell, called Blob Listener that characterizes UI listeners that can produce more than two UI commands. We propose a systematic static code analysis procedure that searches for Blob Listeners that we implement in InspectorGuidget. We conducted experiments on the four software systems for which we manually identified 53 instances of Blob Listener. InspectorGuidget successfully detected 52 Blob Listeners out of 53. The results exhibit a precision of 81.25% and a recall of 98.11%. We then developed a semi-automatically and behavior-preserving refactoring process to remove Blob Listeners. 49.06% of the 53 Blob Listeners were automatically refactored. Patches for JabRef, and FreeCol have been accepted and merged. Discussions with developers of the four software systems assess the relevance of the Blob Listener. This work shows that UI code also suffers from design smells that have to be identified and characterized. We argue that studies have to be conducted to find other UI design smells and tools that analyze UI code must be developed.

Robby speaks with Victor Rentea, an independent technical trainer and Lead Architect at IBM based in Romania. Victor talks about teaching other engineers about legacy code, calling yourself an "expert", and what to do when you're rushed to deliver features but are dealing with refactoring challenges.

Refactoring is an established technique from the OO-community to restructure code: it aims at improving software readability, maintainability and extensibility. Although refactoring is not tied to the OO-paradigm in particular, its ideas have not been applied to Logic Programming until now. This paper applies the ideas of refactoring to Prolog programs. A catalogue is presented listing refactorings classified according to scope. Some of the refactorings have been adapted from the OO-paradigm, while others have been specifically designed for Prolog. Also the discrepancy between intended and operational semantics in Prolog is addressed by some of the refactorings. In addition, ViPReSS, a semi-automatic refactoring browser, is discussed and the experience with applying \vipress to a large Prolog legacy system is reported. Our main conclusion is that refactoring is not only a viable technique in Prolog but also a rather desirable one.

The series of the scammer who is named Nour Saidana. Uploading all of the videos in this series will be uploaded here for knowledge of his practices and scams, along with having these here in case of an inevitable lawsuit against him for his practices.

We describe how to use refactoring tools to transform a Java program conforming to the Composite design pattern into a program conforming to the Visitor design pattern with the same external behavior. We also describe the inverse transformation. We use the refactoring tool provided by IntelliJ IDEA.

Mike Barnett chairs this session at Faculty Summit 2011, which includes the following presentations. Project Roslyn: Exposing the VB and C# Compiler’s Code Analysis—Karen Ng, Microsoft Beyond Behavior Preservation—Ralph Johnson, University of Illinois, Urbana Champaign How Are Developers Using Refactoring Tools?—Emerson Murphy-Hill, North Carolina State University ©2011 Microsoft Corporation. All rights reserved.

Refactoring software design is a method of changing software design while explicitly preserving its unique design functionalities. Presented approach is to utilize design patterns as the basis for refactoring software design. Comparison of a design solution will be made through C++ programming language examples to exploit this approach. Developing reusable component will be discussed, the paper presents that the construction of such components can diminish the added burden of both refactoring and the use of design patterns.

Robby speaks with Clare Sudbery, Lead Engineer with Made Tech. They discuss how to document and prioritize technical debt with a visual tool, trunk-based development patterns, and the importance of getting fast feedback.

John Reese https://2018.northbaypython.org/schedule/presentation/23/ Python includes a concrete syntax tree (CST) in the standard library, useful for mass refactoring code bases of all sizes. I'll walk through the differences between abstract and concrete syntax trees (AST and CST), why a CST is useful for refactoring, and how you can build basic refactoring tools on top of a CST to modify your entire code base quickly and safely. Lastly, I'll demonstrate what's possible with these tools, including upgrading code to new interfaces, or wholesale movement of code between modules. This talk assumes a basic understanding of how Python works, but will otherwise provide enough context to be useful to those who haven't previously worked with syntax trees. A Python conference north of the Golden Gate North Bay Python is a single-track conference with a carefully curated set of talks representing the diverse Python community and their different areas of interest. If a topic is less to your interest, or you've met some people you really want to sit down and chat with, we'll have plenty of areas away from the main theatre to catch up and chat. Our goal is to keep prices as low as possible. That means we won't be catering lunch. Instead, you can look forward to extra-long lunch breaks you can use to explore all of the great food options around the venue.

John Reese https://2018.northbaypython.org/schedule/presentation/23/ Python includes a concrete syntax tree (CST) in the standard library, useful for mass refactoring code bases of all sizes. I'll walk through the differences between abstract and concrete syntax trees (AST and CST), why a CST is useful for refactoring, and how you can build basic refactoring tools on top of a CST to modify your entire code base quickly and safely. Lastly, I'll demonstrate what's possible with these tools, including upgrading code to new interfaces, or wholesale movement of code between modules. This talk assumes a basic understanding of how Python works, but will otherwise provide enough context to be useful to those who haven't previously worked with syntax trees. A Python conference north of the Golden Gate North Bay Python is a single-track conference with a carefully curated set of talks representing the diverse Python community and their different areas of interest. If a topic is less to your interest, or you've met some people you really want to sit down and chat with, we'll have plenty of areas away from the main theatre to catch up and chat. Our goal is to keep prices as low as possible. That means we won't be catering lunch. Instead, you can look forward to extra-long lunch breaks you can use to explore all of the great food options around the venue.

You didn't need a full-blown MVC, you just wanted to add some nice interactive functionality to your server-rendered app. But then one jQuery plugin turns to three, add a dash of statefulness, some error handling, and suddenly you can't sleep at night.   We'll walk through using Ember Components to test-drive a refactor until your front-end code is understandable, usable, and extensible. Armed with TDD and components, you can start to get excited, not exasperated, when asked to add advanced client-side interactions to your website.

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The Domain Name System (DNS) is one of the most important components of the Internet infrastructure. DNS relies on a delegation-based architecture, where resolution of names to their IP addresses requires resolving the names of the servers responsible for those names. The recursive structures of the inter dependencies that exist between name servers associated with each zone are called dependency graphs. System administrators' operational decisions have far reaching effects on the DNSs qualities. They need to be soundly made to create a balance between the availability, security and resilience of the system. We utilize dependency graphs to identify, detect and catalogue operational bad smells. Our method deals with smells on a high-level of abstraction using a consistent taxonomy and reusable vocabulary, defined by a DNS Operational Model. The method will be used to build a diagnostic advisory tool that will detect configuration changes that might decrease the robustness or security posture of domain names before they become into production.

Tool-assisted refactoring transformations must be trustworthy if programmers are to be confident in applying them on arbitrarily extensive and complex code in order to improve style or efficiency. We propose a simple, high-level but rigorous, notation for defining refactoring transformations in Erlang, and show that this notation provides an extensible, verifiable and executable specification language for refactoring. To demonstrate the applicability of our approach, we show how to define and verify a number of example refactorings in the system.

If you're coming to VA Smalltalk from a different dialect the refactoring browser may already be familiar to you; today we'll look at using this tool in VA Smalltalk instead of the standard browser or the Trailblazer variant.

Delta-oriented programming (DOP) is a flexible transformational approach to implement software product lines. In delta-oriented product lines, variants are generated by applying operations contained in delta modules to a (possibly empty) base program. These operations can add, remove or modify named elements in a program (e.g., classes, methods and fields in a Java program). This paper presents algorithms for refactoring a delta-oriented product line into monotonic form, i.e., either to contain add and modify operations only (monotonic increasing) or to contain remove and modify operations only (monotonic decreasing). Because of their simpler structure, monotonic delta-oriented product lines are easier to analyze. The algorithms are formalized by means of a core calculus for DOP of product lines of Java programs and their correctness and complexity are given.

Delta-oriented programming (DOP) is a flexible transformational approach to implement software product lines. In delta-oriented product lines, variants are generated by applying operations contained in delta modules to a (possibly empty) base program. These operations can add, remove or modify named elements in a program (e.g., classes, methods and fields in a Java program). This paper presents algorithms for refactoring a delta-oriented product line into monotonic form, i.e., either to contain add and modify operations only (monotonic increasing) or to contain remove and modify operations only (monotonic decreasing). Because of their simpler structure, monotonic delta-oriented product lines are easier to analyze. The algorithms are formalized by means of a core calculus for DOP of product lines of Java programs and their correctness and complexity are given.

Alan Donovan gives a guided tour of several static analysis tools designed to help Go programmers understand, navigate and refactor their code. Join us for the next DigitalOcean Meetup: http://www.meetup.com/DigitalOcean_Community/

One of the easiest ways to clean up a design is to simply give every element a little more room to breathe.

Demo of using the Refactoring Browser in VisualWorks Smalltalk 5

Python Facilitating Code Refactoring Abstract Ben Christenson

Episodio sobre refactoring. Cuando lo hacemos? hablamos sobre esto, sobre la utilidad que le encontramos y damos alguna bobliografía que a nosotros nos sirvió para asimilar conceptos.