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The research was carried out and the Cyrillic typeface, based on the handwriting, was developed. The font-building software was investigated. Sketches of the font were drawn and converted to the vector format. Afterward, the characters and glyphs, ligatures, tracking, kerning pairs of the handwritten font were constructed. The FineReader was learned to recognize the developed font.
In Search based Software Engineering, well-known evolutionary algorithms are utilized to find the optimal solutions and address the configuration optimization problem for software product lines and trade off multiple often competing objectives. Previous work by Henard et al. showed the weakness of the constraint expressiveness and the optimality and speed. In this work, we propose a multi-objective...
Early design-space evaluation of computer-systems is usually performed using performance models such as detailed simulators, RTL-based models etc. Unfortunately, it is very challenging (often impossible) to run many emerging applications on detailed performance models owing to their complex application software-stacks, significantly long run times, system dependencies and the limited speed/potential...
In the technical support division of a large enterprise software provider, customers' technical incidents, problems, and change requests are processed as tickets. Each ticket is assigned to a support engineer for processing. Due to the limited expertise of individuals, resolving a ticket may involve routing the ticket among multiple groups of engineers. Each routing step costs time and resources....
Software visualizations provide many different complex views with different filters and metrics. But often users have a specific question to which they want to have an answer or they need to find the best visualization by themselves and are not aware of other metrics and possibilities of the visualization tool. We propose an interaction with software visualizations based on a conversational interface...
The highly imbalanced nature of software fault datasets results in poor performance of machine leaning techniques used for software fault prediction. The objective of this paper is to evaluate sampling techniques and Meta-Cost learning in software fault prediction to alleviate problem of imbalanced data. We evaluate four sampling techniques in metrics as well as code smells based fault prediction...
In this paper a log-MAP turbo decoding algorithm which incorporates reliability threshold based trellis branch elimination together with mean based early iteration termination has been proposed. The proposed algorithm reduces computational complexity by eliminating branches in trellis. Since the minimum Log Likelihood Ratio (LLR) obtained for each iteration varies with channel conditions, an early...
Regression testing is the testing activity performed after changes occurred on software. Its aim is to increase confidence that achieved software adjustments have no negative impact on the already functional parts of the software. Test case prioritization is one technique that could be applied in regression testing with the aim to find faults early, resulting in reduced cost and shorten time of testing...
An essential attribute of the software quality is maintainability which incurs almost 60–70% of total project cost. Since software maintainability prediction is a complicated process; estimating maintainability in the prior phases of software development lifecycle (SDLC) is advantageous. Further, it helps in building economical software and improving resource planning well in advance. Software metrics...
Developers frequently rely on free static analysis tools to automatically detect vulnerabilities in the source code of their applications, but it is well-known that the performance of such tools is limited and varies from one software development scenario to another, both in terms of coverage and false positives. Diversity is an obvi-ous direction to take to improve coverage, as different tools usual-ly...
We introduce a machine learning approach for real life software development effort estimation. Our method uses state of the art developments such as distributed word embeddings in order to create a system that can estimate effort given only basic project management metrics and, most importantly, textual descriptions of tasks. We use an artificial neural network for automating the effort estimation...
Use case analysis has been widely adopted in modern software engineering due to its strength in capturing the functional requirements of a system. It is often done with a UML use case model that formalizes the interactions between actors and a system in the requirements elicitation iteration, and with architectural alternatives explored and user interface details specified in the following analysis...
Technical debt monitoring is one of the activities that have to be performed in technical debt management. To do that, there are different techniques that can be used to estimate technical debt and different tools that implement those different techniques. This paper presents TEDMA Tool, a tool for monitoring technical debt over the software evolution and that it is open to integrate third party tools...
Software engineers are using a variety of social platforms, where they participate in open source software projects and respond to other developers that ask for help on specific issues. This presence of developers in different platforms is a mirror of their hands-on experience and expertise in different technologies and programming languages and a useful source of information for their own use but...
Online controlled experiments (for example A/B tests) are increasingly being performed to guide product development and accelerate innovation in online software product companies. The benefits of controlled experiments have been shown in many cases with incremental product improvement as the objective. In this paper, we demonstrate that the value of controlled experimentation at scale extends beyond...
Good planning and managing software test process require accurate estimation of software test effort. This becomes particularly significant when validation and verification activities are to be performed by an independent organization. This study presents a systematic literature review and a follow up industrial survey, which was performed to investigate the state of the art on software test effort...
Sustainability in software engineering is a relatively new and fast growing field of research. Green software engineering aims to produce sustainable software products with minimum negative impact on the environment. In order to make greener software products, software practitioners need actionable timely information, to make useful trade-offs between energy efficiency and other quality attributes,...
To measure object-oriented design quality, metric-based approaches have been established. These have then been enhanced by identifying design smells in code. While these approaches are useful for identifying hot spots that should be refactored, they are still too vague to sufficiently guide software developers to implement improvements. This is why our previous work focuses on measuring the compliance...
Keeping the build fast is often stated as an important prerequisite for continuous integration, and is also widely discussed in literature. But which importance does the capacity of the build system actually have in relation to developer behavior? Based on metrics and interview results from a large-scale industry project, we present the factors that according to the developers themselves affect how...
This short empirical paper investigates how well topic modeling and database meta-data characteristics can classify web and other proof-of-concept (PoC) exploits for publicly disclosed software vulnerabilities. By using a dataset comprised of over 36 thousand PoC exploits, near a 0.9 accuracy rate is obtained in the empirical experiment. Text mining and topic modeling are a significant boost factor...
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