version control
Articles
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Testing a Software Rewrite Suppose we’re looking at a system rewrite where the stakeholders have none of the original engineering documentation. (This isn't surprising; documentation becomes obsolete—or even misleading—as the system changes, and corresponding docs don't get updated.) What can we do? Here are some tactics to use—and risks to anticipate—when testing a system rewrite. |
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Use Version Control to Unlock Your Development Velocity Effective source code management provides a basis for every essential development best practice, including continuous integration and continuous delivery. The key is realizing just how much valuable metadata is being created in your source code management system and establishing the tools and procedures to make this information available. |
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Where Did Configuration Management Go? Amid all the excitement of DevOps, continuous delivery, and the magic of single-push-button deploys, some folks have forgotten the prerequisites. You cannot implement continuous anything without effective configuration management. This article will help you reassess where you are and ensure that you have the basic building blocks in place to ensure success. |
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Automation of Branching, Merging, and Notifications in Parallel Development Developers are distracted from coding by the need to interact with version control systems. Automation of branching, merging, and notifications allows developers to focus on coding. However, integration between the VCS and issue-tracking system, and preferably a continuous integration tool, is necessary to accomplish this goal. |
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Automation Opportunities in Agile Release Management In modern software development, changes to the code base of a project occur quickly as a result of high levels of end-user feedback and shifting needs. Agile has become an increasingly important software development lifecycle management methodology, and using automation to manage a code repository allows continuous integration to take center stage without imposing costs due to human error. |
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Database Continuous Delivery Meets Your Application Continuous delivery meshes well with agile development: Both facilitate the need to move quicker and deal with ever-changing requirements, delivering the best quality possible but usually with not enough resources. Agility is what is expected from technology companies and IT divisions. So, what does it take to have continuous delivery in your database? |
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Streamlining Build Processes and Configuration Management for Truly Agile Organizations Technology-driven companies, regardless of size and scale, are facing the increasing need to ship better code faster while meeting business requirements. This requires collaboration and interaction among the traditional information technology infrastructure library (ITIL), information technology service management (ITSM), and development teams for a truly agile organization to emerge. |
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A Primer on Database Version Control and Why It Matters While source code version control has been a staple of basic software configuration management (SCM) in most development projects for decades, databases have been largely ignored. Implementing SCM principles in database development gives objects protection and enables the automation of database deployments. Software can help to facilitate these processes, but database SCM practices should be instilled from the top of the development organization in order to ensure optimal benefits. |
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Creating a Lean Six Sigma Pull System Lean Six Sigma is a leadership methodology that significantly improves process quality, speed, costs, and agility. One of the concepts applied is called a pull system, and in this article Steven Bonacorsi explains how to design one for your process. Doing so will help you to stabilize a process flow into a predictable work control system. |
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Learning GNU Make Functions with Arithmetic GNU Make has no built-in arithmetic capability. In this article, I present a collection of GNU Make macros that implement functions for addition, subtraction, multiplication, and division of integers. Functions are also provided for integer comparisons such as “greater than” and “not equal.” These macros are implemented entirely using GNU Make's built-in string manipulation functions. |
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