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The Sad State of Web Development Random Thoughts on Web Development
The Sad State of Web Development Random thoughts on web development Going to shit 2015 is when web development went to shit. Web development used to be nice. You could fire up a text editor and start creating JS and CSS files. You can absolutely still do this. That has not changed. So yes, everything I’m about to say can be invalidated by saying that. The web (specifically the Javascript/Node community) has created some of the most complicated, convoluted, over engineered tools ever conceived. Node.js/NPM At times, I think where web development is at this point is some cruel joke played on us by Ryan Dahl. You see, to get into why web development is so terrible, you have to start at Node. By definition I was a magpie developer, so undoubtedly I used Node, just as everyone should. At universities they should make every developer write an app with Node.js, deploy it to production, then try to update the dependencies 3 months later. The only downside is we would have zero new developers coming out of computer science programs. You see the Node.js philosophy is to take the worst fucking language ever designed and put it on the server. Combine that with all the magpies that were using Ruby at the time, and you have the perfect fucking storm. Lets take everything that was great in Ruby and re write it in Javascript, I think was the official motto. Most of the smart magpies have moved on to Go at this point, but the people who have stayed in the Node community have undoubtedly created the most over engineered eco system that has ever appeared. -
16 Inspiring Women Engineers to Watch
Hackbright Academy Hackbright Academy is the leading software engineering school for women founded in San Francisco in 2012. The academy graduates more female engineers than UC Berkeley and Stanford each year. https://hackbrightacademy.com 16 Inspiring Women Engineers To Watch Women's engineering school Hackbright Academy is excited to share some updates from graduates of the software engineering fellowship. Check out what these 16 women are doing now at their companies - and what languages, frameworks, databases and other technologies these engineers use on the job! Software Engineer, Aclima Tiffany Williams is a software engineer at Aclima, where she builds software tools to ingest, process and manage city-scale environmental data sets enabled by Aclima’s sensor networks. Follow her on Twitter at @twilliamsphd. Technologies: Python, SQL, Cassandra, MariaDB, Docker, Kubernetes, Google Cloud Software Engineer, Eventbrite 1 / 16 Hackbright Academy Hackbright Academy is the leading software engineering school for women founded in San Francisco in 2012. The academy graduates more female engineers than UC Berkeley and Stanford each year. https://hackbrightacademy.com Maggie Shine works on backend and frontend application development to make buying a ticket on Eventbrite a great experience. In 2014, she helped build a WiFi-enabled basal body temperature fertility tracking device at a hardware hackathon. Follow her on Twitter at @magksh. Technologies: Python, Django, Celery, MySQL, Redis, Backbone, Marionette, React, Sass User Experience Engineer, GoDaddy 2 / 16 Hackbright Academy Hackbright Academy is the leading software engineering school for women founded in San Francisco in 2012. The academy graduates more female engineers than UC Berkeley and Stanford each year. -
CROP: Linking Code Reviews to Source Code Changes
CROP: Linking Code Reviews to Source Code Changes Matheus Paixao Jens Krinke University College London University College London London, United Kingdom London, United Kingdom [email protected] [email protected] Donggyun Han Mark Harman University College London Facebook and University College London London, United Kingdom London, United Kingdom [email protected] [email protected] ABSTRACT both industrial and open source software development communities. Code review has been widely adopted by both industrial and open For example, large organisations such as Google and Facebook use source software development communities. Research in code re- code review systems on a daily basis [5, 9]. view is highly dependant on real-world data, and although existing In addition to its increasing popularity among practitioners, researchers have attempted to provide code review datasets, there code review has also drawn the attention of software engineering is still no dataset that links code reviews with complete versions of researchers. There have been empirical studies on the effect of code the system’s code base mainly because reviewed versions are not review on many aspects of software engineering, including software kept in the system’s version control repository. Thus, we present quality [11, 12], review automation [2], and automated reviewer CROP, the Code Review Open Platform, the first curated code recommendation [20]. Recently, other research areas in software review repository that links review data with isolated complete engineering have leveraged the data generated during code review versions (snapshots) of the source code at the time of review. CROP to expand previously limited datasets and to perform empirical currently provides data for 8 software systems, 48,975 reviews and studies. -
Evaluation of WYSIWYG Extensions for Mediawiki
Evaluation of WYSIWYG Extensions for Mediawiki Projektpraktikum aus Projekt- und Qualitätsmanagement 188.235 (im Ausmaß von 4 SWS) Betreuer: Dipl. – Ing. Dr. Wolfgang Aigner Florian Mayrhuber [email protected] November 2007 Table of Content 1. Wikis and Mediawiki ...................................................................................................................................................... 1 2. Motivation ............................................................................................................................................................................ 1 2.1. MediaWiki Markup ................................................................................................................................................ 1 2.2. More Userfriendly Approaches ....................................................................................................................... 1 3. Objectives and Structure .............................................................................................................................................. 2 4. WYSIWYG Editors ............................................................................................................................................................ 2 4.1. FCKeditor ................................................................................................................................................................... 2 4.2. Wikiwyg ..................................................................................................................................................................... -
Project Management Software March 2019
PROJECT MANAGEMENT SOFTWARE MARCH 2019 Powered by Methodology CONTENTS 3 Introduction 5 Defining Project Management Software 6 FrontRunners (Small Vendors) 8 FrontRunners (Enterprise Vendors) 10 Runners Up 22 Methodology Basics 2 INTRODUCTION his FrontRunners analysis minimum qualifying score of 3.96 Tis a data-driven assessment for Usability and 3.91 for User identifying products in the Project Recommended, while the Small Management software market that Vendor graphic had a minimum offer the best capability and value qualifying score of 4.55 for Usability for small businesses. For a given and 4.38 for User Recommended. market, products are evaluated and given a score for Usability (x-axis) To be considered for the Project and User Recommended (y-axis). Management FrontRunners, a FrontRunners then plots 10-15 product needed a minimum of 20 products each on a Small Vendor user reviews published within 18 and an Enterprise Vendor graphic, months of the evaluation period. based on vendor business size, per Products needed a minimum user category. rating score of 3.0 for both Usability and User Recommended in both In the Project Management the Small and Enterprise graphics. FrontRunners infographic, the Enterprise Vendor graphic had a 3 INTRODUCTION The minimum score cutoff to be included in the FrontRunners graphic varies by category, depending on the range of scores in each category. No product with a score less than 3.0 in either dimension is included in any FrontRunners graphic. For products included, the Usability and User Recommended scores determine their positions on the FrontRunners graphic. 4 DEFINING PROJECT MANAGEMENT SOFTWARE roject management software and document management, as well Phelps organizations manage as at least one of the following: time and deliver projects on time, on tracking, budgeting, and resource budget and within scope. -
Crawling Code Review Data from Phabricator
Friedrich-Alexander-Universit¨atErlangen-N¨urnberg Technische Fakult¨at,Department Informatik DUMITRU COTET MASTER THESIS CRAWLING CODE REVIEW DATA FROM PHABRICATOR Submitted on 4 June 2019 Supervisors: Michael Dorner, M. Sc. Prof. Dr. Dirk Riehle, M.B.A. Professur f¨urOpen-Source-Software Department Informatik, Technische Fakult¨at Friedrich-Alexander-Universit¨atErlangen-N¨urnberg Versicherung Ich versichere, dass ich die Arbeit ohne fremde Hilfe und ohne Benutzung anderer als der angegebenen Quellen angefertigt habe und dass die Arbeit in gleicher oder ¨ahnlicherForm noch keiner anderen Pr¨ufungsbeh¨ordevorgelegen hat und von dieser als Teil einer Pr¨ufungsleistung angenommen wurde. Alle Ausf¨uhrungen,die w¨ortlich oder sinngem¨aߨubernommenwurden, sind als solche gekennzeichnet. Nuremberg, 4 June 2019 License This work is licensed under the Creative Commons Attribution 4.0 International license (CC BY 4.0), see https://creativecommons.org/licenses/by/4.0/ Nuremberg, 4 June 2019 i Abstract Modern code review is typically supported by software tools. Researchers use data tracked by these tools to study code review practices. A popular tool in open-source and closed-source projects is Phabricator. However, there is no tool to crawl all the available code review data from Phabricator hosts. In this thesis, we develop a Python crawler named Phabry, for crawling code review data from Phabricator instances using its REST API. The tool produces minimal server and client load, reproducible crawling runs, and stores complete and genuine review data. The new tool is used to crawl the Phabricator instances of the open source projects FreeBSD, KDE and LLVM. The resulting data sets can be used by researchers. -
Greater Customization of Ghci Prompt
Greater customization of GHCi prompt Author: Nikita Sazanovich Mentor: Nikita Kartashov SPb AU, spring 2016 GHC[i] The Glasgow Haskell Compiler, or simply GHC, is a state-of-the-art, open source, compiler and interactive environment for the functional language Haskell. GHCi is GHC’s interactive environment. GHC is heavily dependent on its users and contributors. GHC Ticket #5850 Most shells allow arbitrary user customization of the prompt. The bash prompt has numerous escape sequences for useful information, and if those aren't enough, it allows arbitrary command calls. GHCi should gain similar customization abilities. Ways to implement this may include: 1. addition of more escape sequences. 2. addition of a single extra escape sequence with one parameter (an external command call). 3. redesigning the :set prompt option to take a Haskell function. Implementing the feature 1. Haskell Language. 2. Looking for inspiration: bash escape sequences. 3. Understanding the GHC codebase. 4. Refactoring the existing GHC code. 5. Writing the code: parsing the prompt, lazy evaluation, cross-platform. 6. Testing the feature locally. Details: Parsing the prompt :set prompt "%t %w: ghci> " set prompt "%t %w: ghci> " prompt "%t %w: ghci> " "%t %w: ghci> " %t %w: ghci> q%w: ghci> %w: ghci> : ghci> qghci> ... Details: Lazy evaluation Eager evaluation. :set prompt "%t %w: ghci> " READ AND STORE IN PROMPT_STRING IF NEED_TO_PRINT_PROMPT THEN PARSE_AND_PRINT PROMPT_STRING Lazy evaluation. :set prompt "%t %w: ghci> " CREATE_FUNC MAKE_PROMPT = CURRENT_TIME + " " + CURRENT_DIRECTORY + ": ghci> " IF NEED_TO_PRINT_PROMPT THEN PRINT MAKE_PROMPT Details: Cross-platform getUserName :: IO String getUserName = do #ifdef mingw32_HOST_OS getEnv "USERNAME" `catchIO` \e -> do putStrLn $ show e return "" #else getLoginName #endif Contributing the patch to GHC ● Communicating with GHC developers. -
Atlassian Is Primed to Widen Its Appeal Beyond IT
Seth Agulnick, [email protected] REPORT Atlassian Is Primed to Widen Its Appeal Beyond IT Companies: CA, CRM, GOOG/GOOGL, HPE, IBM, JIVE, MSFT, NOW, ORCL, TEAM, ZEN February 11, 2016 Report Type: Initial Coverage ☐ Previously Covered Full Report ☐ Update Report Research Question: Will Atlassian’s workflow tools continue to grow quickly with software development teams while also expanding into new use cases? Summary of Findings Silo Summaries . Atlassian Corp. Plc’s (TEAM) tracking and collaboration tools, widely 1) Atlassian Software Users considered the best-in-class for software development, are gaining JIRA and Confluence are both effective tools for team traction among nontechnical teams. collaboration. JIRA can be customized to suit nearly any team’s development process, though setup is . The company’s two flagship products, JIRA and Confluence, are complicated. Confluence is much easier to use and slowly being rolled out in departments like human resources, sales, tends to be deployed more widely. Atlassian’s biggest customer support and product management. These represent a advantage is the way all of its software pieces work together. Atlassian products—which already are being much larger market than Atlassian’s traditional core in IT. branched out beyond software development—can grow . JIRA was praised for its flexibility and advanced customization even further with business teams. options, though the latter trait makes setup and maintenance a challenge. It has great potential for sales growth with any business 2) Users of Competing Software Three of these five sources said Atlassian’s JIRA is not team that needs to track numerous tasks through a multistage the right fit for every company. -
Letter, If Not the Spirit, of One Or the Other Definition
Producing Open Source Software How to Run a Successful Free Software Project Karl Fogel Producing Open Source Software: How to Run a Successful Free Software Project by Karl Fogel Copyright © 2005-2021 Karl Fogel, under the CreativeCommons Attribution-ShareAlike (4.0) license. Version: 2.3214 Home site: https://producingoss.com/ Dedication This book is dedicated to two dear friends without whom it would not have been possible: Karen Under- hill and Jim Blandy. i Table of Contents Preface ............................................................................................................................. vi Why Write This Book? ............................................................................................... vi Who Should Read This Book? ..................................................................................... vi Sources ................................................................................................................... vii Acknowledgements ................................................................................................... viii For the first edition (2005) ................................................................................ viii For the second edition (2021) .............................................................................. ix Disclaimer .............................................................................................................. xiii 1. Introduction ................................................................................................................... -
Jetbrains Upsource Comparison Upsource Is a Powerful Tool for Teams Wish- Key Benefits Ing to Improve Their Code, Projects and Pro- Cesses
JetBrains Upsource Comparison Upsource is a powerful tool for teams wish- Key benefits ing to improve their code, projects and pro- cesses. It serves as a polyglot code review How Upsource Compares to Other Code Review Tools tool, a source of data-driven project ana- lytics, an intelligent repository browser and Accuracy of Comparison a team collaboration center. Upsource boasts in-depth knowledge of Java, PHP, JavaScript, Integration with JetBrains Tools Python, and Kotlin to increase the efcien- cy of code reviews. It continuously analyzes Sales Contacts the repository activity providing a valuable insight into potential design problems and project risks. On top of that Upsource makes team collaboration easy and enjoyable. Key benefits IDE-level code insight to help developers Automated workflow, to minimize manual tasks. Powerful search engine. understand and review code changes more efectively. Smart suggestion of suitable reviewers, revi- IDE plugins that allow developers to partici- sions, etc. based on historical data and intel- pate in code reviews right from their IDEs. Data-driven project analytics highlighting ligent progress tracking. potential design flaws such as hotspots, abandoned files and more. Unified access to all your Git, Mercurial, Secure, and scalable. Perforce or Subversion projects. To learn more about Upsource, please visit our website at jetbrains.com/upsource. How Upsource Compares to Other Code Review Tools JetBrains has extensively researched various As all the products mentioned in the docu- tools to come up with a useful comparison ment are being actively developed and their table. We tried to make it as comprehensive functionality changes on a regular basis, this and neutral as we possibly could. -
Full Stack Developer / Architect London £470/Day Years of Experience: 17+ Latest Contract: Senior Full-Stack Developer, Leading Social Media App
Full Stack Developer / Architect London £470/day Years of experience: 17+ Latest contract: Senior Full-stack Developer, Leading Social Media App. For the past 17 years, gaining exposure to cutting edge technologies and applying them to creative ends has been my passion. From the early Web to contemporary Interactive / New Media, I have been following a path which has brought more ambitious & challenging projects each time. Working with content from Film, TV, Visual Effects &Journalism and applying such as multi-platform storytelling, machine learning, gamification & altered reality, I have been involved in creating interactive experiences which entertain, inform & inspire. I am actively seeking projects which allow me to continue to expand my knowledge of cutting-edge technology and surpass past challenges in terms of creativity, scale and impact. Expertise - Interaction design, Full-Stack Application Architecture, Object Oriented Design Patterns, Relational Data Modelling, Proprietary Scripting Languages, Automation, Microservices - Natural Language Processing, Semantic Neural Networks & the employment of Ontologies (in particular SUMO) for Machine Learning - Development of proprietary suites of Tools & Frameworks for RAD in particular dealing with Abstract Data Types, Game-state Management, Multilingual Data, REST/API interactions, Content Creation, Editing & Delivery - R&D and Rapid Prototyping, Concept Development, Technical Writing for R&D credits, Project Specification - Project Management, Roll Out, Development Team Management, -
Guide to Open Source Solutions
White paper ___________________________ Guide to open source solutions “Guide to open source by Smile ” Page 2 PREAMBLE SMILE Smile is a company of engineers specialising in the implementing of open source solutions OM and the integrating of systems relying on open source. Smile is member of APRIL, the C . association for the promotion and defence of free software, Alliance Libre, PLOSS, and PLOSS RA, which are regional cluster associations of free software companies. OSS Smile has 600 throughout the World which makes it the largest company in Europe - specialising in open source. Since approximately 2000, Smile has been actively supervising developments in technology which enables it to discover the most promising open source products, to qualify and assess them so as to offer its clients the most accomplished, robust and sustainable products. SMILE . This approach has led to a range of white papers covering various fields of application: Content management (2004), portals (2005), business intelligence (2006), PHP frameworks (2007), virtualisation (2007), and electronic document management (2008), as well as PGIs/ERPs (2008). Among the works published in 2009, we would also cite “open source VPN’s”, “Firewall open source flow control”, and “Middleware”, within the framework of the WWW “System and Infrastructure” collection. Each of these works presents a selection of best open source solutions for the domain in question, their respective qualities as well as operational feedback. As open source solutions continue to acquire new domains, Smile will be there to help its clients benefit from these in a risk-free way. Smile is present in the European IT landscape as the integration architect of choice to support the largest companies in the adoption of the best open source solutions.