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Most of our current understanding of how programmers perform various software maintenance and evolution tasks is based on controlled studies or interviews, which are inherently limited in size, scope, and realism. Replicating controlled studies in the field can both explore the findings of these studies in wider contexts and study new factors that have not been previously encountered in the laboratory...
In this presentation, I describe how the SEI’s Security Engineering Risk Analysis (SERA) method provides a structure that connects desired system functionality with the underlying software to evaluate the sufficiency of requirements for software security and the potential operational security risks based on mission impact.
Technical Debt (TD) refers to the long-term consequences of shortcuts taken during different phases of software development life cycle. Lack of attention to monitoring and managing testing and development debt can contribute to unexpectedly large cost overruns and severe quality issues in software development projects. This paper describes a case study conducted with an industry partner to explore...
This paper is a short story of my adventures of the past 20 years trying to integrate academic research with software engineering problems in industry. I share the challenges I encountered on the way, my failures and successes, evolution of my research, and its adoption in industry. Though I faced many hardships, I feel great satisfaction in knowing that my research is applied today in the design...
As software engineering researchers, we are also zealous tool smiths. Building a research prototype is often a daunting task, let alone building an industry-grade family of tools supporting multiple platforms to ensure the generalizability of results. In this paper, we give advice to academic and industrial tool smiths on how to design and build an easy-to-maintain architecture capable of supporting...
More and more modern applications make use of natural language data, e. g. Information Extraction (IE) or Question Answering (QA) systems. Those application require preprocessing through Natural Language Processing (NLP) pipelines, and the output quality of these applications depends on the output quality of NLP pipelines. If NLP pipelines are applied in different domains, the output quality decreases...
This paper introduces TestMEReq, an automated tool for early validation of requirements. TestMEReq supports requirements engineers (REs) in the validation of the correctness, completeness and consistency of elicited requirements with minimum effort and time through generated abstract tests components: test requirements and test cases, and a mock-up prototype of the user interface (UI). Abstract tests...
This paper outlines challenges the authors have faced over decades of industrial experience with large-scale software analysis and maintenance projects (especially legacy modernization) for multiple organizations where millions of lines of source code are involved. Such projects require large teams cooperating on parsing, analyzing, and manipulating source code. In this context the use of traditional...
The API Economy trend is nowadays a concrete opportunity to go beyond the traditional development of vertical ICT solutions and to unlock additional business value by enabling innovative collaboration patterns between different players, e.g., companies, public authorities and researchers. Thus, an effective API Economy initiative has to be comprehensive, focusing not only on technical issues but also...
Company strategies for building and leveraging industry-university research collaborations are many and varied. This paper reports on strategies observed at North American technology companies including BNR, Northern Telecom, Qualcomm, Cisco, Bell Labs, Lucent, and Alcatel-Lucent. Strategies included a range of tactics focused on leveraging intellectual property portfolios, benchmarking processes...
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