| 1. |
- Antinyan, Vard, 1984, et al.
(författare)
-
Profiling prerelease software product and organizational performance
- 2014
-
Ingår i: Continuous software engineering. - Cham : Springer. - 9783319112831 ; , s. 167-182
-
Bokkapitel (refereegranskat)abstract
- Background: Large software development organizations require effective means of quantifying excellence of products and improvement areas. A good quantification of excellence supports organizations in retaining market leadership. In addition, a good quantification of improvement areas is needed to continuously increase performance of products and processes. Objective: In this chapter we present a method for developing product and organizational performance profiles. The profiles are a means of quantifying prerelease properties of products and quantifying performance of software development processes. Method: We conducted two case studies at three companies-Ericsson, Volvo Group Truck Technology, and Volvo Car Corporation. The goal of first case study is to identify risky areas of source code. We used a focus group to elicit and evaluate measures and indicators at Ericsson. Volvo Group Truck Technology was used to validate our profiling method. Results: The results of the first case study showed that profiling of product performance can be done by identifying risky areas of source code using combination of two measures-McCabe complexity and number of revisions of files. The results of second case study show that profiling change frequencies of models can help developers identify implicit architectural dependencies. Conclusions: We conclude that profiling is an effective tool for supporting improvements of product and organizational performance. The key for creating useful profiles is the close collaboration between research and development organizations. © 2014 Springer International Publishing Switzerland. All rights reserved.
|
|
| 2. |
- Berger, Christian, 1980
(författare)
-
Towards continuous integration for cyber-physical systems on the example of self-driving miniature cars
- 2014
-
Ingår i: Continuous software engineering. - Cham : Springer International Publishing. - 9783319112831 ; 9783319112831, s. 117-126
-
Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Today's consumer life is already pervasively supported by visible and unnoticeable technology. We are consuming information flows, contributing within social webs, and integrating our virtual communities into an interconnected lifestyle. This interconnected and assisted way of living is realized by various products ranging from consumer electronics products like smartphones and wearable computing up to safety-critical systems like intelligent cars, which aim for unnoticeably protecting the user and its surroundings in critical situations. And at the end of this decade, the technology of a self-driving car is reported to be available for consumers enabling various opportunities for new businesses. From consumer-level technology like smartphones, smart TVs, or laptops, users are used to feature extensions and evolution over time by having automated application and operating system updates. Thus, further system features are continuously rolled out on a large user base enabling new use cases. Nowadays, the digitally connected lifestyle integrates components like wearable computing and smart mobility, where an OEM could hardly anticipate the nearly limitless variety of complex combinations. The trend of a continuously evolving user-experience in terms of new features and functionalities puts further challenges, requirements, and constraints on a system provider to maintain the expected high quality of the product and in the future of the interconnected and integrated product network. This article presents the design of a simulation-based testing and integration approach for cyber-physical systems by using self-driving miniature cars as the running example.
|
|
| 3. |
- Berger, Christian, 1980
(författare)
-
Towards continuous integration for cyber-physical systems on the example of self-driving miniature cars
- 2014
-
Ingår i: Continuous software engineering. - Cham : Springer. - 9783319112831 ; , s. 117-126
-
Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- © 2014 Springer International Publishing Switzerland. All rights reserved. Today's consumer life is already pervasively supported by visible and unnoticeable technology. We are consuming information flows, contributing within social webs, and integrating our virtual communities into an interconnected lifestyle. This interconnected and assisted way of living is realized by various products ranging from consumer electronics products like smartphones and wearable computing up to safety-critical systems like intelligent cars, which aim for unnoticeably protecting the user and its surroundings in critical situations. And at the end of this decade, the technology of a self-driving car is reported to be available for consumers enabling various opportunities for new businesses. From consumer-level technology like smartphones, smart TVs, or laptops, users are used to feature extensions and evolution over time by having automated application and operating system updates. Thus, further system features are continuously rolled out on a large user base enabling new use cases. Nowadays, the digitally connected lifestyle integrates components like wearable computing and smart mobility, where an OEM could hardly anticipate the nearly limitless variety of complex combinations. The trend of a continuously evolving user-experience in terms of new features and functionalities puts further challenges, requirements, and constraints on a system provider to maintain the expected high quality of the product and in the future of the interconnected and integrated product network. This article presents the design of a simulation-based testing and integration approach for cyber-physical systems by using self-driving miniature cars as the running example.
|
|
| 4. |
- Olsson Holmström, Helena, et al.
(författare)
-
The HYPEX Model : From Opinions to Data-Driven Software Development
- 2014
-
Ingår i: Continuous Software Engineering. - Cham : Springer. - 9783319112824 - 9783319112831 ; , s. 155-164
-
Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- While innovation, such as development of new features, is critical for any organization, it is hard to get right. In both our case companies, the selection of ideas is usually driven by previous experiences, and very often the process becomes politicized and based on peoples’ opinions. To address this, we present the Hypothesis Experiment Data-Driven Development (HYPEX) model. Our model is an alternative development process that helps companies shorten the feedback loop to customers. The model supports companies in running feature experiments and advocates development of small parts of features that are continuously evaluated with customers. In our study we validate the model in two software development companies. Although the companies involved in the study have not yet completed a full experiment cycle, we see that feature experiments are beneficial for improving at least four activities within the companies: (1) data-driven development (the ease of collecting customer feedback allows for a real-time connection between the quantified business goals of the organization and the operational metrics collected from the installed customer base), (2) customer responsiveness (the ease of collecting customer feedback allows product management to respond rapidly and dynamically to any changes to the use of the products, as well as to emerging customer requests), (3) R&D efficiency (the ease of collecting customer feedback gives the development teams a real-time goal and metrics to strive for and provides focus for their work), and (4) R&D accuracy (the ease of collecting customer feedback enables the development teams to align their efforts with what the customers appreciate the most). The HYPEX model is a development process that helps software development companies move away from building large chunks of functionality with little feedback from customers and instead continuously validate with customers that the functionality under development is of value to customers.
|
|
