Abstract
Despite efforts to define productivity, there is no consensus in the software industry regarding what the term productivity means and, instead of having only one metric or factor that describes productivity, it is defined by a set of aspects. Our objective is to develop a tool that supports the productivity measurement of software development teams according to the factors found in the literature. We divided these factors into four groups: People, Product, Organization, and Open Source Software Projects. We developed a web system containing the factors that influence productivity identified in this work, called Productive, to support software development teams in measuring their productivity. After developed the tool, we monitored its use over eight weeks with two small software development teams. From the results, we found that software development companies can use the system to support monitoring team productivity. The results also point to an improvement in productivity while using the system, and a survey applied to users demonstrates the users’ positive perception regarding the results obtained. In future work, we will monitor the use of the tool and investigate the users’ perceptions in other project contexts.
Highlights
People: This group contains nineteen factors related to the characteristics of the people who participate in the software development team
To start the productivity measurement process, we registered both companies in the application as well as the users who participated in the measurements and created allocations between people and the respective companies
The developed system allows for the factors that are used by a given software development team to be changed through the system itself
Summary
Ishizaka et al [2] stated that, considering the current increasingly globalized context and the huge amount of data present in the daily life of a company, decision-makers have more than ever the need to manage their business efficiently and productively For this reason, the theme has been discussed in works from different contexts, such as academy [3,4], computing [5], public services [6], economics [7,8], forest conservation [9], and software development teams [10,11,12,13,14]. The authors concluded that lower productivity causes unhappiness and that unhappiness causes low productivity
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
