杜塔塔尼农业信息系统改造结果的黑盒测试

Lukas Chrisantyo, Argo Wibowo, Maria Nila Anggiarini, Antonius Rachmat Chrismanto
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引用次数: 0

摘要

信息技术不断发展。与此同时,农业科学也在转变其信息系统中的技术利用意识,以提高其质量和服务水平。印度尼西亚政府大力支持在农业中使用信息系统技术。杜塔塔尼研究团队从2016年开始持续开发农业信息系统(AIS)技术,以实现精准农业。在这些发展之后,必须根据所使用技术的变化和发展持续不断地改进信息系统。在系统修复阶段非常需要测试,以便更改或改进不会在任何预先存在的功能中引起冲突或问题。试图在修复阶段应用的技术数量往往会在对用户进行测试时导致高系统故障。基于这些问题,本研究旨在实现黑盒测试,以提高系统在普通用户使用之前的成功率。黑盒测试被认为能够连接开发团队和代表一般用户的随机回答者。本研究还增加了迭代,以提高系统的成功率。受访者被邀请通过几个主要场景来使用该系统,但他们必须填写以前从未填写过的变量。通过几次迭代,并遵循由一个独立的测试团队与十个随机应答者创建的测试场景,该研究将系统的成功率提高了11.79%。
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Blackbox Testing on the ReVAMP Results of The DutaTani Agricultural Information System
Information technology continues to evolve unceasingly. In line with the evolvement, agricultural sciences also transform the sense of technology utilization in its information systems to improve its quality and service. The Government of Indonesia strongly supports the use of information system technology in agriculture. DutaTani research team has consistently developed Agricultural Information System (AIS) technology since 2016 to achieve precision agriculture. These developments must be followed by continuous improvement of information systems carried out sustainably following changes and developments in the technology used. Testing is sorely needed in the system repair phase so that changes or improvements do not cause conflicts or problems in any pre-existing functions. The number of technologies that are tried to be applied in the repair phase tends to cause high system failures when they are tested on users. Based on these problems, this study aims to implement Blackbox testing to increase the system's success rate before general users utilize it. Blackbox testing is considered capable of bridging the development team and random respondents representing general users later. This research also added iterations to increase the success rate of the system. Respondents are invited to use the system through several main scenarios, but they have to fill in the input with variables that they have never filled in before. Through several iterations and following a test scenario created by an independent test team with ten random respondents, this study increased the system's success rate by 11.79%.
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