敏捷和软件工程中的其他趋势

M. Raunak, D. Binkley
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引用次数: 9

摘要

成功地开发和交付多年、多人的软件项目仍然是一项极具挑战性的任务。在过去的50年里,软件工程研究人员花费了大量的精力来研究通过开发各种过程、技术和工具来改善这种情况的方法。了解实践当前状态的趋势对于识别软件工程师今天面临的挑战、他们的组织正在处理的变化,以及这些挑战和变化如何影响工业软件生产是至关重要的。这篇论文报告了来自99个软件工程开发人员和管理人员的调查结果,关于他们对过程、技术和工具的选择,以及他们对项目成功或失败的贡献因素的印象。特别地,这篇论文包括了对敏捷实践采用趋势的关注。这些数据加强了一些已知的挑战领域,例如需要更有效的沟通。它还显示了跨组织采用敏捷的明显趋势,尽管传统流程在某些领域仍然根深蒂固。Scrum是使用中最常见的敏捷过程,但不同的组织根据自己的需要对其进行不同的调整。另一方面,极限编程在实践中几乎不存在。数据还显示,不充分或不明确的需求仍然是困扰软件行业的主要问题。同样,缺乏严格的时间和成本估算也是司空见惯的。这两个因素加在一起就可以解释软件故障和延迟率高得惊人的原因。最后,工具在工业中的使用差异很大;但是有些领域(比如版本控制和单元测试)见证了几乎普遍的工具采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agile and other trends in software engineering
Successfully developing and delivering multi-year, multi-person software projects remains a highly challenging task. Software engineering researchers have spent considerable energy investigating ways to improve this situation by developing various processes, techniques, and tools over the last five decades. Understanding trends in the current state of the practice is crucial to identifying the challenges that software engineers face today, the changes their organizations are tackling, and how these challenges and changes impact industrial software production. This paper reports survey results from 99 software engineering developers and managers regarding their choice of process, technique, and tools, as well as their impressions as to the contributing factors towards project success or failure. In particular, the paper includes a focus on trends in adoption of agile practices. The data reinforces some known challenge areas such as the need for more effective communication. It also shows that there is a clear trend towards agile adoption across organizations, albeit traditional processes are still firmly entrenched in some areas. Scrum is the most common agile process in use, but it often gets adapted differently by different organizations, each according to their need. On the other hand, extreme programming was found to be almost non-existent in practice. The data also reveals that inadequate or unclear requirements are still the major problem that dogs the software industry. Similarly, a lack of rigorous time and cost estimation is commonplace. Together these two alone may explain the staggeringly high rate of software failures and delays. Finally, tool usage in industry varies quite widely; but there are certain areas (such as version control and unit testing) witnessing almost universal tool adoption.
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