1,721,078 research outputs found
A Technology Transfer Portal to Promote Industry-Academia Collaboration in South-Tyrol
No full textTechnology transfer is a complex and multifaceted activity whose main goal is to promote academic knowledge transfer from academia to industry. In this context, one of the most challenging parts of technology transfer activities is to inform stakeholders from the industry about the availability of academic results. Traditionally, this occurs through academic publications, and companies with a research department already use this knowledge source. Nonetheless, Small and Medium Enterprises (SMEs) do not often have the time or the resources to study and interpret results from academia. This paper describes a technology transfer Web portal that promotes technology transfer offers in a industry-friendly format. The portal aims at fostering innovation and collaboration between academia and industry
To Pull or Not To Pull
No full textThe Toyota Production System promotes "pull" scheduling
to reduce the production of parts that do not comply to
what the customer needs. The use of "pull" within software
represents a radical change in the way activities are
planned. This article gives two examples of the possible
application of "pull" within software engineering and describes a measurement tool to assess the current costs and
amount of rework within a software development project.
The described approach aims to help practitioners to understand whether to use "pull" or "push" in their organization
Automated test-based learning and verification of performance models for microservices systems
Full text linkEffective and automated verification techniques able to provide assurances of performance and scalability are highly demanded in the context of microservices systems. In this paper, we introduce a methodology that applies specification-driven load testing to learn the behavior of the target microservices system under multiple deployment configurations. Testing is driven by realistic workload conditions sampled in production. The sampling produces a formal description of the users' behavior through a Discrete Time Markov Chain. This model drives multiple load testing sessions that query the system under test and feed a Bayesian inference process which incrementally refines the initial model to obtain a complete specification from run-time evidence as a Continuous Time Markov Chain. The complete specification is then used to conduct automated verification by using probabilistic model checking and to compute a configuration score that evaluates alternative deployment options. This paper introduces the methodology, its theoretical foundation, and the toolchain we developed to automate it. Our empirical evaluation shows its applicability, benefits, and costs on a representative microservices system benchmark. We show that the methodology detects performance issues, traces them back to system-level requirements, and, thanks to the configuration score, provides engineers with insights on deployment options. The comparison between our approach and a selected state-of-the-art baseline shows that we are able to reduce the cost up to 73% in terms of number of tests. The verification stage requires negligible execution time and memory consumption. We observed that the verification of 360 system-level requirements took ~1 minute by consuming at most 34 KB. The computation of the score involved the verification of ~7k (automatically generated) properties verified in ~72 seconds using at most ~50 KB. (C)& nbsp;2022 The Author(s). Published by Elsevier Inc.& nbsp
Use of Pair Programming for Experience Exchange in a Distributed Internship Project – A preliminary analysis of the results
No full textThis paper report on an experience of distributed internship project held in the Faculty of Computer
Science of the University of Bolzano-Bozen. We monitored the knowledge transfer using Pair
Programming practices within an “integrated” distributed environment. We found that Pair Programming
was successful in spreading knowledge and increasing skills and consciousness of the Pair Programming
effectiveness among the group of students selected for the experience
Jidoka in Software Development
No full textLean management is based on two concepts: the elimination of “Muda”, the waste, from the production process,
and “Jidoka”, the introduction of quality inside the production process and product. In software production, the elimination of Muda received significant attention, while Jidoka
has not yet been fully exploited. In this work we want to
propose a holistic approach to insert Jidoka in software
production. We depict the architecture of a tool to support
Jidoka and describe the components that are part of it
Lean Software Development in Action
No full textThis book illustrates how goal-oriented, automated measurement can be used to create Lean organizations and to facilitate the development of Lean software, while also demonstrating the practical implementation of Lean software development by combining tried and trusted tools.
In order to be successful, a Lean orientation of software development has to go hand in hand with a company’s overall business strategy. To achieve this, two interrelated aspects require special attention: measurement and experience management. In this book, Janes and Succi provide the necessary knowledge to establish “Lean software company thinking,” while also exploiting the latest approaches to software measurement. A comprehensive, company-wide measurement approach is exactly what companies need in order to align their activities to the demands of their stakeholders, to their business strategy, etc. With the automatic, non-invasive measurement approach proposed in this book, even small and medium-sized enterprises that do not have the resources to introduce heavyweight processes will be able to make their software development processes considerably more Lean.
The book is divided into three parts. Part I, “Motivation for Lean Software Development,” explains just what “Lean Production” means, why it can be advantageous to apply Lean concepts to software engineering, and which existing approaches are best suited to achieving this. Part II, “The Pillars of Lean Software Development,” presents the tools needed to achieve Lean software development: Non-invasive Measurement, the Goal Question Metric approach, and the Experience Factory. Finally, Part III, “Lean Software Development in Action,” shows how different tools can be combined to enable Lean Thinking in software development.
The book primarily addresses the needs of all those working in the field of software engineering who want to understand how to establish an efficient and effective software development process. This group includes developers, managers, and students pursuing an M.Sc. degree in software engineering
Non-invasive software process data collection for expert identification
No full textSoftware companies depend heavily on knowledgeable
employees. Competence and skills management are
essential instruments to understand how to employ the
available skills in an optimal way.
Unfortunately, implementing knowledge management
strategies like competence and skills management is
challenging because resources, time and effort are
required before benefits become visible.
This paper shows an approach to collect noninvasively (i.e., without requiring any effort by
developers) data about “who” is working on “what”
during software production.
We present two examples to show how to answer three
questions: “who is the expert of a specific part of the
code?”, “who should do pair programming with
whom?”, and “what knowledge gap arises if a specific
developer leaves?”
- …
