1,720,999 research outputs found
Replication package for the paper "The Impact of Hard and Easy Negative Training Data on Vulnerability Prediction Performance"
No full textThis replication package contains the datasets, code and results for the paper "The Impact of Hard and Easy Negative Training Data on Vulnerability Prediction Performance" for other researchers to use for replicating or improving our work
Female Leadership in Software Projects—A Preliminary Result on Leadership Style and Project Context Factors
No full textWomen have been shown to be effective leaders in many team-based situations. However, it is also well-recognized that women are underrepresented in engineering and technology areas, which leads to wasted efforts and a lack of diversity in professional organizations. Although studies about gender and leadership are rich, research focusing on engineering-specific activities, are scarce. To react on this gap, we explored the experience of female leaders of software development projects and possible context factors that influence leadership effectiveness. The study was conducted as a longitudinal multiple case study. Data was collected from survey, interviews, observation and project reports. In this work, we reported some preliminary findings related to leadership style, team perception on leadership and team-task context factors. We found a strong correlation between perceived team leadership and task management. We also observed a potential association between human-oriented leading approach in low customer involvement scenarios and task-oriented leading approach in high customer involvement situations
Reproduction package for the paper "The Impact of Hard and Easy Negative Training Data on Vulnerability Prediction Performance"
No full textThis Reproduction package contains the datasets, code and results for the paper "The Impact of Hard and Easy Negative Training Data on Vulnerability Prediction Performance" for other researchers to use for reproducing or improving our work
Analyzing and Conceptualizing Monitoring and Analytics as a Service for Grain Warehouses
No full textIn developing countries, like Vietnam, it is vital to ensure high quality of grain with traceable origins, because grain is of paramount importance for business and food security purposes. However, it is very challenging to build information systems to track, monitor, analyze and manage grain warehouses in scattered flood of Mekong delta-Vietnam, given under developed physical and informational infrastructures. In this paper, we analyze requirements and conceptualize monitoring and analytics as a service for grain warehouses, with a focus on Vietnam´s environment. We analyze different stakeholders and their needs for monitoring and analytics features for grain warehouses. Leveraging the cloud computing model, big data analytics and Internet of Things (IoT), we design a conceptual framework to monitor various important information for grain warehouses and present different data analytics services that should be provided
Mutants as Patches: Towards a formal approach to Mutation Testing
No full textBackground: Mutation testing is a widely explored technique used to evaluate the quality of software tests, but little attention has been given to its mathematical foundations
Reproduction package for paper "Do software defects smell?"
No full textReproduction package for the articl
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Factors influencing user story estimations: an industrial interview and a conceptual model
No full textA proper estimation of time in user stories is a crucial task for both the IT team as well as for the customer,
especially in agile projects. Although agile practices offer a lot of flexibility and promote a culture of continuous
change, there are always clearly de need timeboxed periods where an IT company has to commit to delivering working
soft-ware. Estimating time of user story implementation provides clarity and the opportunity to control the project by
the management, yet at the same time, it can increase pressure on software developers. Thus, incorrectly estimated
user stories may lead to quality problems including system malfunction, technical debt, and general user experience
issues. The paper describes user story characteristics, reasons of user story estimation inaccuracy as well as a model
of their potential impact on post-release defects in large IT software ventures, all derived from the conducted interview
with practitioners in Capgemini software development company
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