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Code review checklists also provide team members with clear expectations for each type of review and can be helpful to track for reporting and process improvement purposes. Checklists are the most effective way to eliminate frequently made errors and to combat the challenges of omission finding. Omissions in particular are the hardest defects to find because it´s difficult to review something that isn´t there. It´s very likely that each person on your team makes the same 10 mistakes over and over. More bugs found prior to peer review will yield in lower defect density because fewer bugs exist overall. As an added benefit, the author will often find additional errors before the peer review even begins. Annotations should be directed at other reviewers to ease the process and provide more depth in context. Authors should annotate source code before the reviewĪuthors should annotate code before the review occurs because annotations guide the reviewer through the changes, showing which files to look at first and defending the reason behind each code modification. To get a better sense of effective code review reporting, you can see how our code review tool, Collaborator, does it. A metrics-driven code review tool gathers data automatically so that your information is accurate and without human bias. Realistically, only automated or strictly controlled processes can provide repeatable metrics. Defect density: the average number of bugs found per line of code.Defect rate: the number of bugs found per hour of review.Inspection rate: the speed with which a review is performed.
It´s also useful to watch internal process metrics, including: "Fix more bugs" is not an effective goal. For example, "reduce support calls by 15%," or "cut the percentage of defects injected by development in half." This information should give you a quantifiable picture of how your code is improving. Using SMART criteria, start with external metrics. Set goals and capture metricsīefore implementing a process, your team should decide how you will measure the effectiveness of peer review and name a few tangible goals. Conducting more frequent reviews should reduce the need to ever have to conduct a review of this length. Studies show that taking breaks from a task over a period of time can greatly improve quality of work. When people engage in any activity requiring concentrated effort over a period of time, performance starts dropping off after about 60 minutes. Just as you shouldn´t review code too quickly, you also should not review for too long in one sitting. Do not review for more than 60 minutes at a time Read the State of Code Review Report 2020 3.
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