TD 2014:关于大数据和大团队世界中的技术债务的研讨会

ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity Pub Date : 2014-10-20 DOI:10.1145/2660252.2663599

D. Mancl, S. Fraser

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引用次数: 0

摘要

在当今快节奏的市场中，技术债务是软件开发中不可避免的一部分，但它却被许多应该最关心它的人所忽视。在大型系统中，累积的技术债务的一部分只是由进度压力和其他项目力量引起的“草率设计”。但是技术债务中最重要的部分与项目规模和数据复杂性直接相关。关于大型开发团队和地理分布的技术债务有多少?当前的“大数据”技术(Hadoop、NoSQL、并行算法、MapReduce)与技术债务问题有什么关系?本次研讨会探讨了理解技术债务影响的策略。如果我们相信技术债务是长期软件产品开发中的一个重要问题，我们是否有办法避免技术债务导致开发僵局?

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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TD 2014: workshop on technical debt in a world of big data and big teams

Technical debt is an unavoidable part of software development in today's fast-paced market, but it is ignored by many of the people who should care about it most. In large systems, a portion of the accumulating technical debt is just "sloppy design" caused by schedule pressure and other project forces. But the most important part of technical debt is directly related to project size and data complexity. How much technical debt is about large development teams and geographical distribution? How do current "big data" techniques (Hadoop, NoSQL, parallel algorithms, MapReduce) relate to technical debt issues? This workshop explored strategies for understanding the impact of technical debt. If we believe that technical debt is an important issue in long-term software product development, do we have ways to keep the technical debt from causing development gridlock?

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ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity

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