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Concept
Game testing
Summary
Game testing, a subset of game development, is a software testing process for quality control of video games. The primary function of game testing is the discovery and documentation of software defects. Interactive entertainment software testing is a highly technical field requiring computing expertise, analytic competence, critical evaluation skills, and endurance. In recent years the field of game testing has come under fire for being extremely strenuous and unrewarding, both financially and emotionally.
In the early days of computer and video games, the developer was in charge of all the testing. No more than one or two testers were required due to the limited scope of the games. In some cases, the programmers could handle all the testing.
As games become more complex, a larger pool of QA resources, called "Quality Assessment" or "Quality Assurance" is necessary. Most publishers employ a large QA staff for testing various games from different developers. Despite the large QA infrastructure most publishers have, many developers retain a small group of testers to provide on-the-spot QA.
Now most game developers rely on their highly technical and game savvy testers to find glitches and 'bugs' in either the programming code or graphic layers. Game testers usually have a background playing a variety of different games on a multitude of platforms. They must be able to notate and reference any problems they find in detailed reports, meet deadlines with assignments and have the skill level to complete the game titles on their most difficult settings. Most of the time the position of game tester is a highly stressful and competitive position with little pay yet is highly sought after for it serves as a doorway into the industry. Game testers are observant individuals and can spot minor defects in the game build.
A common misconception is that all game testers enjoy alpha or beta version of the game and report occasionally found bugs. In contrast, game testing is highly focused on finding bugs using established and often tedious methodologies before alpha version.
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