| 1. |
- Ochodek, Miroslaw, et al.
(author)
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On Identifying Similarities in Git Commit Trends—A Comparison Between Clustering and SimSAX
- 2020
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In: SWQD 2020: Software Quality: Quality Intelligence in Software and Systems Engineering. - Cham : Springer. - 1865-1348 .- 1865-1356. - 9783030355104
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Conference paper (peer-reviewed)abstract
- Software products evolve increasingly fast as markets continuously demand new features and agility to customer’s need. This evolution of products triggers an evolution of software development practices in a different way. Compared to classical methods, where products were developed in projects, contemporary methods for continuous integration, delivery, and deployment develop products as part of continuous programs. In this context, software architects, designers, and quality engineers need to understand how the processes evolve over time since there is no natural start and stop of projects. For example, they need to know how similar two iterations of the same program or how similar two development programs are. In this paper, we compare three methods for calculating the degree of similarity between projects by comparing their Git commit series. We test three approaches—the DNA-motifs-inspired …
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| 2. |
- Issa Mattos, David, 1990, et al.
(author)
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Leveraging business transformation with machine learning experiments
- 2019
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In: Lecture Notes in Business Information Processing. - Cham : Springer International Publishing. - 1865-1356 .- 1865-1348. ; 370 LNBIP, s. 183-191
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Conference paper (peer-reviewed)abstract
- The deployment of production-quality ML solutions, even for simple applications, requires significant software engineering effort. Often, companies do not fully understand the consequences and the business impact of ML-based systems, prior to the development of these systems. To minimize investment risks while evaluating the potential business impact of an ML system, companies can utilize continuous experimentation techniques. Based on action research, we report on the experience of developing and deploying a business-oriented ML-based dynamic pricing system in collaboration with a home shopping e-commerce company using a continuous experimentation (CE) approach. We identified a set of generic challenges in ML development that we present together with tactics and opportunities.
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| 3. |
- Alégroth, Emil, 1984, et al.
(author)
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Teaching scrum – what we did, what we will do and what impedes us
- 2015
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In: Lecture Notes in Business Information Processing. - 1865-1348 .- 1865-1356. - 9783319186115 ; 212, s. 361-362
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Conference paper (other academic/artistic)abstract
- This paper analyses the way we teach Scrum. We reflect on our intended learning outcomes, which challenges we find in teaching Scrum and which lessons we have learned during the last four years. We also give an outlook on the way we want to introduce and apply Scrum in our teaching and how we intend to improve the curriculum.
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| 4. |
- Andreo, Sebastien, et al.
(author)
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API management challenges in ecosystems
- 2019
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In: Lecture Notes in Business Information Processing. - Cham : Springer International Publishing. - 1865-1356 .- 1865-1348. ; 370, s. 86-93
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Conference paper (peer-reviewed)abstract
- The API has become a cornerstone of software ecosystems, providing ways to drive innovation inside and outside the organization. Because of this criticality, we should manage APIs. The purpose of this study is to identify and classify the challenges that organizations evolving into internal ecosystems are facing as they have to deal with APIs. We performed a qualitative research study on three Siemens internal ecosystems with different sizes, technologies, and age. The results reveal that even if we are talking about the API economy, organizations are struggling with different aspects of API management related to Business, Architecture, Process, and Organization. The challenges identified in this paper provide a basis for future research.
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| 5. |
- Atem de Carvalho, Rogerio, et al.
(author)
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Towards more flexible enterprise information systems
- 2012
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In: Enterprise Information Systems of the Future : Lecture Notes in Business Information Processing, vol 139 - Lecture Notes in Business Information Processing, vol 139. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1865-1356 .- 1865-1348. - 9783642366109 - 9783642366116 ; , s. 157-164
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Conference paper (peer-reviewed)abstract
- The aim of this paper is to present the software development techniques used to build the EIS Patterns development framework, which is a testbed for a series of techniques that aim at giving more flexibility to EIS in general. Some of these techniques are customizations or extensions of practices created by the agile software development movement, while others represent new proposals. This paper also aims at helping promoting more discussion around the EIS development questions, since most of research papers in EIS area focus on deployment, IT, or business related issues, leaving the discussion on development techniques ill-treated.
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| 6. |
- Babu, Md Abu Ahammed, 1994, et al.
(author)
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Impact of Image Data Splitting on the Performance of Automotive Perception Systems
- 2024
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In: Lecture Notes in Business Information Processing. - 1865-1356 .- 1865-1348. ; 505 LNBIP, s. 91-111
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Conference paper (peer-reviewed)abstract
- Context: Training image recognition systems is one of the crucial elements of the AI Engineering process in general and for automotive systems in particular. The quality of data and the training process can have a profound impact on the quality, performance, and safety of automotive software. Objective: Splitting data between train and test sets is one of the crucial elements in this process as it can determine both how well the system learns and generalizes to new data. Typical data splits take into consideration either randomness or timeliness of data points. However, in image recognition systems, the similarity of images is of equal importance. Methods: In this computational experiment, we study the impact of six data-splitting techniques. We use an industrial dataset with high-definition color images of driving sequences to train a YOLOv7 network. Results: The mean average precision (mAP) was 0.943 and 0.841 when the similarity-based and the frame-based splitting techniques were applied, respectively. However, the object-based splitting technique produces the worst mAP score (0.118). Conclusion: There are significant differences in the performance of object detection methods when applying different data-splitting techniques. The most positive results are the random selections, whereas the most objective ones are splits based on sequences that represent different geographical locations.
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| 7. |
- Backlund, Emil, 1988, et al.
(author)
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Automated User Interaction Analysis for Workflow-Based Web Portals
- 2014
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In: Software Business. - Cham : Springer. ; 182, s. 148-162
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Conference paper (peer-reviewed)abstract
- Success in the software market requires constant improvement of the software. These improvements however have to directly align with the needs of the users of the software. A recent trend in software engineering is to collect post-deployment data about how users use a software system. We report in this paper about a case study with an industrial partner in which (1) we identified which data has to be collected for a web-based portal system, (2) implemented the data collection, and (3) performed an experiment comparing the collected data with answers of the test subjects in a survey.
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| 8. |
- Berntsson Svensson, Richard, 1978, et al.
(author)
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The unfulfilled potential of data-driven decision making in agile software development
- 2019
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In: Lecture Notes in Business Information Processing. - Cham : Springer International Publishing. - 1865-1356 .- 1865-1348. - 9783030190330 ; 355, s. 69-85
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Conference paper (peer-reviewed)abstract
- With the general trend towards data-driven decision making (DDDM), organizations are looking for ways to use DDDM to improve their decisions. However, few studies have looked into the practitioners view of DDDM, in particular for agile organizations. In this paper we investigated the experiences of using DDDM, and how data can improve decision making. An emailed questionnaire was sent out to 124 industry practitioners in agile software developing companies, of which 84 answered. The results show that few practitioners indicated a wide-spread use of DDDM in their current decision making practices. The practitioners were more positive to its future use for higher-level and more general decision making, fairly positive to its use for requirements elicitation and prioritization decisions, while being less positive to its future use at the team level. The practitioners do see a lot of potential for DDDM in an agile context; however, currently unfulfilled.
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| 9. |
- Bjarnason, Elizabeth, et al.
(author)
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An Industrial Case Study on Test Cases as Requirements
- 2015
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In: Agile Processes in Software Engineering and Extreme Programming : 16th International Conference, XP 2015, Helsinki, Finland, May 25-29, 2015, Proceedings - 16th International Conference, XP 2015, Helsinki, Finland, May 25-29, 2015, Proceedings. - Cham : Springer International Publishing. - 1865-1356 .- 1865-1348. - 9783319186115 - 9783319186122 ; 212
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Conference paper (peer-reviewed)abstract
- It is a conundrum that agile projects can succeed ‘without requirements’ when weak requirements engineering is a known cause for project failures. While Agile development projects often manage well without extensive requirements documentation, test cases are commonly used as requirements. We have investigated this agile practice at three companies in order to understand how test cases can fill the role of requirements. We performed a case study based on twelve interviews performed in a previous study. The findings include a range of benefits and challenges in using test cases for eliciting, validating, verifying, tracing and managing requirements. In addition, we identified three scenarios for applying the practice, namely as a mature practice, as a de facto practice and as part of an agile transition. The findings provide insights into how the role of requirements may be met in agile development including challenges to consider.
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| 10. |
- Borg, Markus, et al.
(author)
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Agility in Software 2.0 – Notebook Interfaces and MLOps with Buttresses and Rebars
- 2022
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In: International Conference on Lean and Agile Software DevelopmentLASD 2022: Lean and Agile Software Development pp 3-16. - Cham : Springer Science and Business Media Deutschland GmbH. - 1865-1356 .- 1865-1348. - 9783030942373 ; , s. 3-16
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Conference paper (peer-reviewed)abstract
- Artificial intelligence through machine learning is increasingly used in the digital society. Solutions based on machine learning bring both great opportunities, thus coined “Software 2.0,” but also great challenges for the engineering community to tackle. Due to the experimental approach used by data scientists when developing machine learning models, agility is an essential characteristic. In this keynote address, we discuss two contemporary development phenomena that are fundamental in machine learning development, i.e., notebook interfaces and MLOps. First, we present a solution that can remedy some of the intrinsic weaknesses of working in notebooks by supporting easy transitions to integrated development environments. Second, we propose reinforced engineering of AI systems by introducing metaphorical buttresses and rebars in the MLOps context. Machine learning-based solutions are dynamic in nature, and we argue that reinforced continuous engineering is required to quality assure the trustworthy AI systems of tomorrow.
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