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Related Concept Videos

Design Consideration01:22

Design Consideration

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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
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Archimedes' principle is fundamental in analyzing the buoyant force and stability of floating bodies. In this example, a wooden block with a rectangular section floats in seawater. Based on the block's dimensions, its specific gravity and the specific weight of seawater are used to find the volume of water displaced and the center of buoyancy.
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The acceptance criteria for dissolution profile data are anchored in Q values, representing the percentage of drug dissolved within a specified period. This assessment unfolds in three stages:First Stage: The test passes if all six drug dosage units are equal to or greater than Q plus 5%; otherwise, the sample proceeds to the second stage.Second Stage: The average of twelve units must be equal to or greater than Q, with no unit falling below Q - 15% to pass; if not, it progresses to the final...
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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Lightweight Software Architecture Evaluation for Industry: A Comprehensive Review.

Mahdi Sahlabadi1, Ravie Chandren Muniyandi1, Zarina Shukur1

  • 1Centre for Cyber Security, Faculty of Information Science and Technology (FTSM), Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia.

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Summary
This summary is machine-generated.

Software architecture evaluation methods are often too complex for practitioners. This study identifies key features and factors for developing lightweight evaluation techniques that meet industry needs, improving software development practices.

Keywords:
heavyweight software architecturelightweight software architecturesoftware architectural evaluationsoftware quality

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Area of Science:

  • Computer Science
  • Software Engineering

Background:

  • Systematic software architecture (SA) evaluation methods are often perceived as too heavyweight by industrial practitioners.
  • Modern heterogeneous systems introduce increased complexity to SA evaluation.
  • Existing lightweight methods have also faced low adoption rates.

Purpose of the Study:

  • To propose a comparison framework for SA evaluation methods.
  • To identify lightweight features and factors for improving SA evaluation adoption in industry.
  • To address practitioner concerns regarding SA evaluation methods.

Main Methods:

  • Systematic literature review.
  • Text analysis of SA definitions from stakeholders.
  • Analysis of commonly used lightweight SA evaluation methods and the heavyweight Architecture-based Tradeoff Analysis Method (ATAM).

Main Results:

  • Identification of specific lightweight features crucial for practitioner adoption.
  • Determination of factors that influence the effectiveness of lightweight SA evaluation.
  • A proposed framework to compare and improve existing SA evaluation methods.

Conclusions:

  • There is a need for SA evaluation methods that are both systematic and lightweight.
  • Understanding practitioner concerns is key to developing usable evaluation techniques.
  • The identified features and factors can guide the development of more adoptable SA evaluation tools.