An Approach to Generate Test Goals from Use Case Scenarios
نویسندگان
چکیده
منابع مشابه
An Evolutionary Approach to Generate Solutions for Conflict Scenarios
Conflict resolution is nowadays an important topic. Online Dispute Resolution in particular is nowadays a major research topic, focusing on the development of technology-based tools to assist parties involved in conflict resolution processes. In this paper we present such a tool aimed at the generation of solutions. It is based on Genetic Algorithms that evolve a population of solutions through...
متن کاملthe aesthetic dimension of howard barkers art: a frankfurtian approach to scenes from an execution and no end of blame
رابطه ی میانِ هنر و شرایطِ اجتماعیِ زایش آن همواره در طولِ تاریخ دغدغه ی ذهنی و دل مشغولیِ اساسیِ منتقدان و نیز هنرمندان بوده است. از آنجا که هنر در قفس آهنیِ زندگیِ اجتماعی محبوس است، گسترش وابستگیِ آن با نهاد ها و اصولِ اجتماعی پیرامون، صرفِ نظر از هم سو بودن و یا غیرِ هم سو بودنِ آن نهاد ها، امری اجتناب ناپذیر به نظر می رسد. با این وجود پدیدار گشتنِ چنین مباحثِ حائز اهمییتی در میان منتقدین، با ظهورِ مکتب ما...
Novel Approach to Generate Test Cases from UML Sequence Diagrams
This paper presents a novel approach of generating test cases from UML design diagrams. Our approach consists of transforming a UML sequence diagram into a graph called the sequence diagram graph (SDG) and augmenting the SDG nodes with different information necessary to compose test vectors. These information are mined from use case templates, class diagrams and data dictionary. The SDG is then...
متن کاملGoals and Scenarios to Software Product Lines: the GS2SPL Approach
Goal-oriented requirements engineering (GORE) approaches for Software Product Lines (SPLs) offer a natural way to capture not only stakeholders’ goals but also similarities and the variability of an SPL. Goals to Software Product Lines (G2SPL) is an approach that guides the systematic creation of an SPL feature model from i* models with cardinality. However, by using G2SPL it is not possible to...
متن کاملLearning to select primitives and generate sub-goals from practice
This paper focuses on learning to select behavioral primitives and generate sub-goals from practicing a task. We present a novel algorithm that combines Qlearning and a locally weighted learning method to improve primitive selection and sub-goal generation. We demonstrate this approach applied to the tilt maze task (see video). Our robot initially learns to perform this task using learning from...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2013
ISSN: 1812-5638
DOI: 10.3923/itj.2013.1600.1606