Variability Models Must Not be Invariant!

نویسندگان

  • Elmar Jürgens
  • Markus Pizka
چکیده

Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to efficiently produce members of such a family. By making variability explicit, variability models determine implicitly the common properties among family members as well. This partitioning of information into variable and invariant parts predetermines the reuse benefit obtainable from a variability model. In most current approaches to variability modeling, the decision between variable and invariant information has to be done in an up-front manner and is very difficult to change later on. However, the distinction between variable and common parts of members of a system family varies over time. Variability modeling techniques must thus be able to cope with changes to the variability

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

— Problem Statement — Variability Models Must Not be Invariant !

Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to efficiently produce members of such a family. By making variability explicit, variability models determine implicitly the common properties among family members as well. This partitioning of information into variable and inva...

متن کامل

— Problem Statement — Variability Models Must Not be

Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to efficiently produce members of such a family. By making variability explicit, variability models determine implicitly the common properties among family members as well. This partitioning of information into variable and inva...

متن کامل

Robust gain-scheduled control of linear parameter-varying systems with uncertain scheduling parameters in the presence of the time-invariant uncertainties

In this paper, a new approach is presented to design a gain-scheduled state-feedback controller for uncertain linear parameter-varying systems. It is supposed that the state-space matrices of them are the linear combination of the uncertain scheduling parameters. It is assumed that the existed uncertainties are of type of time-invariant parametric uncertainties with specified intervals. Simulta...

متن کامل

Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia

Distinctive electrocardiogram (EeG) patterns are created when the heart is beating normally and when a dangerous arrhythmia is present. Some devices which monitor the EeG and react to arrhythmias parameterize the ECG signal and make a diagnosis based on the parameters. The author discusses the use of a neural network to classify the EeG signals directly. without parameterization. The input to s...

متن کامل

1 Invariant Handwriting Features Useful in Cursive - Script Recognition Hans - Leo

The within-writer variability of handwriting forms one of the problems in the automatic recognition of cursive script. Variability can be handled by choosing handwriting features based upon the process of handwriting generation or upon computational models. Handwriting patterns are represented by a sequence of motor actions, i.e., "strokes", which can be identified by invariant segmentation. Ea...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007