Project

Metrics for Energy Efficiency - Innometrics

Goal: Organizations worldwide constantly Increase the amount of data at their disposal. This fact increases the need to structure, organize, and present the information obtained from it. That is because, in today’s rapid-changing business environment, managers and executives need to be able to gain crucial insights about the ongoing project in as little time as possible. Recently, energy efficiency has become a greater field of research, and companies started concentrating on monitoring energy-related metrics. In addition, many of them have built their own internal tools (dashboards) to do just this. However, one of the major drawbacks of building specialized tools is the lack of adaptability. That is, they are often tailored to only one person (e.g. CEO), or a small group of them (e.g. board of directors, managers). Furthermore, the combination of metrics that are displayed to them does not change over time. This is a problem because most likely there exists a better metric combination that would allow users to get the crucial insights faster. To fill this gap, our ongoing research focuses on making the dashboards adaptable to multiple roles within the organization while optimizing for a certain goal.

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Organizations worldwide constantly Increase the amount of data at their disposal. This fact increases the need to structure, organize, and present the information obtained from it. That is because, in today’s rapid-changing business environment, managers and executives need to be able to gain crucial insights about the ongoing project in as little time as possible. Recently, energy efficiency has become a greater field of research, and companies started concentrating on monitoring energy-related metrics. In addition, many of them have built their own internal tools (dashboards) to do just this. However, one of the major drawbacks of building specialized tools is the lack of adaptability. That is, they are often tailored to only one person (e.g. CEO), or a small group of them (e.g. board of directors, managers). Furthermore, the combination of metrics that are displayed to them does not change over time. This is a problem because most likely there exists a better metric combination that would allow users to get the crucial insights faster. To fill this gap, our ongoing research focuses on making the dashboards adaptable to multiple roles within the organization while optimizing for a certain goal.
 
Andrey Sadovykh
added 2 research items
The paper is devoted to the development of the data collectors for Windows OS and MacOS. The purpose of these plugins is to collect the process metrics from the user’s device and send it to the back-end for further processing. The overall open source framework is aimed at energy efficiency analysis of the developing software products. The development presented here as a sequence of the life cycle stages, including requirements analysis, design, implementation and testing. Specifics of the implementation for each targeted operating system are given.
Vladimir Ivanov
added 2 research items
It is a cliche to say that there is a gap between research and practice. As the interest and importance in the practical impact of research has been growing, the gap between research and practice is expected to be narrowing. However, our study reveals that there still seems to be a wide gap. We survey so ware engineers about what they care about when developing so ware. We then compare our survey results with the research topics of the papers published in ICSE/FSE recently. We found the following discrepancy: while so ware engineers care more about so ware development productivity than the quality of so ware, papers on research areas closely related to so ware productivity--such as so ware development process management and so ware development techniques--are significantly less published than papers on so ware verification and validation that account for more than half of publications. We also found that so ware engineers are in great need for techniques for accurate effort estimation, and they are not necessarily knowledgable about techniques they can use to meet their needs.
Despite increasing popularity of developer dashboards, the effectiveness of dashboards is still in question. In order to design a dashboard that is effective and useful for developers, it is important to know (a) what information developers need to see in a dashboard, and (b) how developers want to use a dashboard with that necessary information. To answer these questions, we conducted two series of face-to-face individual interviews with developers. In the first step we analyzed answers, build a Goal-Question-Metric model and designed a precooked developer dashboard. Then, during the second separate series of interviews, we validated the GQM and derived feedback on the designed dashboard. Given that the cost of dashboard customization prevents developers from utilizing dashboards, we believe that our findings can provide a solid starting point to build precooked developer dashboards that can be readily utilized by software companies.
Vladimir Ivanov
added 7 research items
Software is mostly, if not entirely, a knowledge artifact. Software best practices are often thought to work because they induce more productive behaviour in software developers. In this paper we deployed a new generation tool, portable multichannel EEG, to obtain direct physical insight into the mental processes of working software developers engaged in their standard activities. We have demonstrated the feasibility of this approach and obtained a glimpse of its potential power to distinguish physical brain activity of developers working with different methodologies.
Despite that non-invasive software measurement tools have proven their usefulness in software production, their adoption in software industry is still limited. Reasons for the limited distributions have been studied and analysed recently. In this paper, we propose a new architecture for non-invasive software measurement systems that address the problems of the existing systems. The outcome of our early experimentation is quite promising and gives us the desired additional confidence on its successful distribution.
Vladimir Ivanov
added a research item
Analysis of data related to software development helps to increase quality, control and predictability of software development processes and products. However, collecting such data is a complex task. A non-invasive collection of software metrics is one of the most promising approaches to solve the task. In this paper we present an approach which consists of four parts: collect the data, store all collected data, unify the stored data and analyze the data to provide insights to the user about software product or process. We employ the approach to the development of an architecture for non-invasive software measurement system and explain its advantages and limitations.