Software metrics are widely accepted tools to control and assure software quality. A large number of software metrics with a variety of content can be found in the literature. Software metrics are widely accepted tools to control and assure software quality. A large number of software metrics with a variety of content can be found in the literature. In this paper, different software complexity ...

This work addresses the problem of metrics for multi-robot systems. It is often desirable to compare different strategies or algorithms for similar problems, e.g. mapping or localization. Since these are often real time applications, classical criterions like time or space complexity are not very helpful. Several other metrics have been suggested. In this paperformation navigation is used as an...

There is growing interest in using automatically computed corpus-based evaluation metrics to evaluate Natural Language Generation (NLG) systems, because these are often considerably cheaper than the human-based evaluations which have traditionally been used in NLG. We review previous work on NLG evaluation and on validation of automatic metrics in NLP, and then present the results of two studie...

The importance of software quality is becoming a motivating force for the development of techniques like Artificial Neural Network (ANN), which are being used for the design of prediction models of quality attributes. The purpose of this work is to examine the application of ANN for software quality prediction using Object-Oriented (OO) metrics. Testing effort has been predicted using ANN metho...

Designing complex software systems involves making choices. Particularly in the early stages, software architects need to consider a wide range of design alternatives in order to satisfactorily meet all the requirements. Search techniques like evolutionary algorithms can support them to better explore these choices, requiring the resolution of the formulated search problem under the guidance of...

Proper decisions play a crucial role in any software architecture design process. An important decision of design stage is the selection of a suitable software architecture style. Lack of investigation on the quantitative impact of architecture styles on software quality attributes is the main problem in using such styles. Consequently, the use of architecture styles in designing is based on th...

Automatic evaluation metrics are fundamentally important for Machine Translation, allowing comparison of systems performance and efficient training. Current evaluation metrics fall into two classes: heuristic approaches, like BLEU, and those using supervised learning trained on human judgement data. While many trained metrics provide a better match against human judgements, this comes at the co...

Automatic evaluation metrics are fundamentally important for Machine Translation, allowing comparison of systems performance and efficient training. Current evaluation metrics fall into two classes: heuristic approaches, like BLEU, and those using supervised learning trained on human judgement data. While many trained metrics provide a better match against human judgements, this comes at the co...

This paper describes the LAYERED metric which is used for the shared WMT’14 metrics task. Various metrics exist for MT evaluation: BLEU (Papineni, 2002), METEOR (Alon Lavie, 2007), TER (Snover, 2006) etc., but are found inadequate in quite a few language settings like, for example, in case of free word order languages. In this paper, we propose an MT evaluation scheme that is based on the NLP l...