scholarly journals Mind Your Outcomes: Quality-Centric Systems Development

2021 ◽  
Author(s):  
Seyed Hossein HAERI ◽  
Peter Thompson ◽  
Neil Davies ◽  
Peter Van Roy ◽  
Kevin Hammond ◽  
...  
Keyword(s):  
Real World ◽  
Large Scale ◽  
Critical Issue ◽  
Systems Development ◽  
Software Systems ◽  
Design Decisions ◽  
Detailed Design ◽  
Distributed Software ◽  
Significant Time ◽  
Design And Implementation

This paper directly addresses a critical issue that affects the development of many complex distributed software systems: how to establish quickly, cheaply and reliably whether they will deliver their intended performance before expending significant time, effort and money on detailed design and implementation. We describe ΔQSD, a novel metrics-based and quality-centric paradigm that uses formalised outcome diagrams to explore the performance consequences of design decisions, as a performance blueprint of the system. The ΔQSD paradigm is both effective and generic: it allows values from various sources to be combined in a rigorous way, so that approximate results can be obtained quickly and subsequently refined. ΔQSD has been successfully used by Predictable Network Solutions for consultancy on large-scale applications in a number of industries, including telecommunications, avionics, and space and defence, resulting in cumulative savings of $Bs. The paper outlines the ΔQSD paradigm, describes its formal underpinnings, and illustrates its use via a topical real-world example taken from the blockchain/cryptocurrency domain, where application of this approach enabled an advanced distributed proof-of-stake system to meet challenging throughput targets.

scholarly journals Mind Your Outcomes: The ∆Q approach to Quality-Centric Systems Development and Its Application to a Blockchain Case-Study

2021 ◽  
Author(s):  
Seyed Hossein HAERI ◽  
Peter Thompson ◽  
Neil Davies ◽  
Peter Van Roy ◽  
Kevin Hammond ◽  
...  
Keyword(s):  
Real World ◽  
Large Scale ◽  
Critical Issue ◽  
Systems Development ◽  
Software Systems ◽  
Design Decisions ◽  
Detailed Design ◽  
Distributed Software ◽  
Design And Implementation

This paper directly addresses a critical issue that affects the development of many complex distributed software systems: how to establish quickly, cheaply and reliably whether they will deliver their intended performance before expending significant time, effort and money on detailed design and implementation. We describe ΔQSD, a novel metrics-based and quality-centric paradigm that uses formalised outcome diagrams to explore the performance consequences of design decisions, as a performance blueprint of the system. The ΔQSD paradigm is both effective and generic: it allows values from various sources to be combined in a rigorous way, so that approximate results can be obtained quickly and subsequently refined. ΔQSD has been successfully used by Predictable Network Solutions for consultancy on large-scale applications in a number of industries, including telecommunications, avionics, and space and defence, resulting in cumulative savings of $Bs. The paper outlines the ΔQSD paradigm, describes its formal underpinnings, and illustrates its use via a topical real-world example taken from the blockchain/cryptocurrency domain, where application of this approach enabled an advanced distributed proof-of-stake system to meet challenging throughput targets.

The lean gap: A review of lean approaches to large-scale software systems development

2013 ◽  
Vol 86 (11) ◽  
pp. 2797-2821 ◽  
Author(s):  
J. Pernstål ◽  
R. Feldt ◽  
T. Gorschek
Keyword(s):  
Large Scale ◽  
Systems Development ◽  
Software Systems

OPTIMAL TESTING RESOURCE ALLOCATION FOR MODULAR SOFTWARE CONSIDERING COST, TESTING EFFORT AND RELIABILITY USING GENETIC ALGORITHM

2009 ◽  
Vol 16 (06) ◽  
pp. 495-508 ◽  
Author(s):  
P. K. KAPUR ◽  
ANU. G. AGGARWAL ◽  
KANICA KAPOOR ◽  
GURJEET KAUR
Keyword(s):  
Genetic Algorithm ◽  
Resource Allocation ◽  
Software Development ◽  
Large Scale ◽  
Optimization Problems ◽  
Low Cost ◽  
Computer Software ◽  
Critical Issue ◽  
Software Systems ◽  
The Cost

The demand for complex and large-scale software systems is increasing rapidly. Therefore, the development of high-quality, reliable and low cost computer software has become critical issue in the enormous worldwide computer technology market. For developing these large and complex software small and independent modules are integrated which are tested independently during module testing phase of software development. In the process, testing resources such as time, testing personnel etc. are used. These resources are not infinitely large. Consequently, it is an important matter for the project manager to allocate these limited resources among the modules optimally during the testing process. Another major concern in software development is the cost. It is in fact, profit to the management if the cost of the software is less while meeting the costumer requirements. In this paper, we investigate an optimal resource allocation problem of minimizing the cost of software testing under limited amount of available resources, given a reliability constraint. To solve the optimization problem we present genetic algorithm which stands up as a powerful tool for solving search and optimization problems. The key objective of using genetic algorithm in the field of software reliability is its capability to give optimal results through learning from historical data. One numerical example has been discussed to illustrate the applicability of the approach.

scholarly journals A Survey on Automated Log Analysis for Reliability Engineering

2021 ◽  
Vol 54 (6) ◽  
pp. 1-37
Author(s):  
Shilin He ◽  
Pinjia He ◽  
Zhuangbin Chen ◽  
Tianyi Yang ◽  
Yuxin Su ◽  
...  
Keyword(s):  
Open Source ◽  
Real World ◽  
Large Scale ◽  
Source Code ◽  
Software Systems ◽  
Log Analysis ◽  
Reliability Engineering ◽  
Future Directions ◽  
Runtime Information ◽  
Software Logs

Logs are semi-structured text generated by logging statements in software source code. In recent decades, software logs have become imperative in the reliability assurance mechanism of many software systems, because they are often the only data available that record software runtime information. As modern software is evolving into a large scale, the volume of logs has increased rapidly. To enable effective and efficient usage of modern software logs in reliability engineering, a number of studies have been conducted on automated log analysis. This survey presents a detailed overview of automated log analysis research, including how to automate and assist the writing of logging statements, how to compress logs, how to parse logs into structured event templates, and how to employ logs to detect anomalies, predict failures, and facilitate diagnosis. Additionally, we survey work that releases open-source toolkits and datasets. Based on the discussion of the recent advances, we present several promising future directions toward real-world and next-generation automated log analysis.

A Framework for Understanding the Open Source Revolution

2009 ◽  
pp. 439-454
Author(s):  
Jeff Elpern ◽  
Sergiu Dascalu
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Open Source Software ◽  
Real World ◽  
Large Scale ◽  
Future Research ◽  
Software Systems ◽  
New Paradigm ◽  
Hierarchical Decision Making ◽  
Hierarchical Decision

Traditional software engineering methodologies have mostly evolved from the environment of proprietary, large-scale software systems. Here, software design principles operate within a hierarchical decision- making context. Development of banking, enterprise resource and complex weapons systems all fit this paradigm. However, another paradigm for developing software-intensive systems has emerged, the paradigm of open source software. Although from a traditional perspective open source projects might look like chaos, their real-world results have been spectacular. This chapter presents open source software development as a fundamentally new paradigm driven by economics and facilitated by new processes. The new paradigm’s revolutionary aspects are explored, a framework for describing the massive impact brought about by the new paradigm is proposed, and directions of future research are outlined. The proposed framework’s goals are to help the understanding of the open source paradigm as a new economic revolution and stimulate research in designing open source software.

scholarly journals What Works and What Does Not: an Analysis of Application Frameworks Technology

2006 ◽  
Vol 1 (3) ◽  
Author(s):  
Wusheng Zhang ◽  
Mik Kim
Keyword(s):  
Software Development ◽  
Design Patterns ◽  
Large Scale ◽  
Quality Criteria ◽  
Systems Development ◽  
Theory And Practice ◽  
Software Systems ◽  
What Works ◽  
Potential Benefits

Advocates of application frameworks claim that this technology is one of the most promising, supporting large-scale reuse, increased productivity and quality, and reduced cost of software development. A number of its advocates suggest that the next decade will be a major challenge for the development and deployment of this technology. This study investigates the theory and practice of application frameworks technology to evaluate what works and what does not in systems development. The evaluation is based on quality criteria developed by the authors. The result of the study suggests that application frameworks technology does support large-scale reuse by incorporating other existing reuse techniques such as design patterns, class libraries and components. It also shows that the methodological support pertaining to building and implementing application frameworks is inadequate. Furthermore, it indicates that application frameworks technology may increase the quality of software in terms of correctness and reusability with some penalty factors but there is no guarantee of increasing the extendability and interoperability of software systems. There are still obstacles that restrict the potential benefits claimed by the proponents of application frameworks.

Extraction and Analysis of Crucial Fraction in Software Networks

2014 ◽  
Vol 24 (04) ◽  
pp. 617-634 ◽  
Author(s):  
Hui Li ◽  
Rong Chen ◽  
Xin Ge ◽  
Li-Ying Hao ◽  
Hai Zhao
Keyword(s):  
Real World ◽  
Large Scale ◽  
Empirical Studies ◽  
Object Oriented ◽  
Small World ◽  
Structural Features ◽  
Hierarchical Organization ◽  
Software Systems ◽  
Strong Connectivity ◽  
Scale Free

Many complex systems, such as software systems, are full of complexity arising from interactions among basic units (such as classes, interfaces and struts in object-oriented software systems). One of the most successful approaches to capture the underlying structural features of large-scale software systems is the investigation of hierarchical organization. However, the hierarchy of software networks has not been thoroughly investigated. In this paper, the crucial fraction (CF) in software networks has been extracted and analyzed in a set of real-world software systems. First, the classes and the relationships between them have been extracted into software networks. Then software networks have been divided into different layers, and CF of software networks has been extracted by k-core. The empirical studies in this paper reveal that software networks represent flat hierarchical structure. Finally, CF has been measured by the relevant complex network parameters respectively, and the relations between CF and overall network have been analyzed by the case studies of software networks. The results show that CF represents characteristics of scale-free, small-world, strong connectivity, and the units in CF are frequently reused and dominate the overall system.

HIGH PERFORMANCE SERVICE DISCOVERY IN LARGE-SCALE MULTI-AGENT AND MOBILE-AGENT SYSTEMS

2001 ◽  
Vol 11 (05) ◽  
pp. 621-641 ◽  
Author(s):  
JUNWEI CAO ◽  
DARREN J. KERBYSON ◽  
GRAHAM R. NUDD
Keyword(s):  
High Performance ◽  
Service Discovery ◽  
Large Scale ◽  
Evaluation Process ◽  
Software Systems ◽  
Distributed Software ◽  
Systems Software ◽  
Mobile Agent Systems ◽  
High Dynamics ◽  
The Impact

With increasing requirements of distributed software systems, software agents are becoming a mainstream technology for software engineering and data management. Scalability and adaptability are two key challenges that must be addressed. In this work a new model is introduced for building large-scale distributed software systems with high dynamics, using a hierarchy of homogeneous agents that has the capability of service discovery. The performance of the agent system can be improved using different combinations of optimisation strategies. A modelling and simulation environment has been developed to aid the performance evaluation process. Two case studies are given and simulation results are included that show the impact of the agent mobility and the choice of performance optimisation strategies on the overall system performance.

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