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Automotive software engineering: A systematic map** study
The automotive industry is going through a fundamental change by moving from a
mechanical to a software-intensive industry in which most innovation and competition rely …
mechanical to a software-intensive industry in which most innovation and competition rely …
Selecting software reliability growth models and improving their predictive accuracy using historical projects data
During software development two important decisions organizations have to make are: how
to allocate testing resources optimally and when the software is ready for release. SRGMs …
to allocate testing resources optimally and when the software is ready for release. SRGMs …
A scenario-based analysis of mobile payment acceptance
In recent years, a lot of mobile payment service providers entered the market and often left it
without any success. They have often disregarded the high complexity of the ecosystem and …
without any success. They have often disregarded the high complexity of the ecosystem and …
[HTML][HTML] Reliability growth analysis of k-out-of-N systems using matrix-based system reliability method
The advent of ever more complex systems in extensive areas of industries hampers efficient
and accurate analysis of reliability and effective reliability-based decision making. Such …
and accurate analysis of reliability and effective reliability-based decision making. Such …
Defect prediction over software life cycle in automotive domain state of the art and road map for future
Software today provides an important and vital role in providing the functionality and user
experience in automotive domain. With ever increasing size and complexity of software …
experience in automotive domain. With ever increasing size and complexity of software …
A key performance indicator quality model and its industrial evaluation
Background: Modern software development companies increasingly rely on quantitative
data in their decision-making for product releases, organizational performance assessment …
data in their decision-making for product releases, organizational performance assessment …
Deep cross-project software reliability growth model using project similarity-based clustering
Software reliability is an essential characteristic for ensuring the qualities of software
products. Predicting the potential number of bugs from the beginning of a development …
products. Predicting the potential number of bugs from the beginning of a development …
A pursuit-evasion algorithm based on hierarchical reinforcement learning
This paper proposed a pursuit-evasion algorithm based on the Option method from
hierarchical reinforcement learning and applied it into multi-robot pursuit-evasion game in …
hierarchical reinforcement learning and applied it into multi-robot pursuit-evasion game in …
Selecting the right visualization of indicators and measures–dashboard selection model
Background: Contemporary software development organizations utilize multiple channels to
disseminate information about their indicators, measures, trends and predictions. Selecting …
disseminate information about their indicators, measures, trends and predictions. Selecting …
Generalized software reliability model considering uncertainty and dynamics: Model and applications
Today's development environment has changed drastically; the development periods are
shorter than ever and the number of team members has increased. Consequently …
shorter than ever and the number of team members has increased. Consequently …