Managing Expectations: Runtime Negotiation of Information Quality Requirements in Event-Based Systems

Frischbier, Sebastian; Pietzuch, Peter; Buchmann, Alejandro

doi:10.1007/978-3-662-45391-9_14

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…This poses the need for a comprehensive requirements negotiation process that allows negotiated requirements to accommodate new changes from the stakeholders in requirement negotiation [25]. [24,41] proposes a technique to manage requirements changes at the converging win-conditions stage of requirements negotiation. This is to mitigate the difficulty in managing requirements changes experienced in the later stages of the software development lifecycle.…”

Section: Managing Requirement Changesmentioning

confidence: 99%

“…Challenges [4] Conflict resolution [12] Conflict resolution [10] Conflict resolution [42] Communication [6] Decision making [35] Decision making [9] Decision making and conflict resolution [17] Performance of RN tool [16] Performance [24] Managing requirement changes [18] Performance [43] Communication [20] Communication [22] Communication [19] Communication [44] Requirement analysis [41] Managing requirement changes [11] Conflict resolution [1] Decision making [45] Decision making and conflict resolution [36] Decision making [46] Decision making [47] Performance [33] Decision Making [15] Performance [2] Conflict resolution [38] Decision-making [48] Decision-making [49] Performance and Decision making [13] Performance [14] Performance [8] Decision-making and performance [21] Communication [50] Decision-making VI. RESEARCH FINDINGS During searching and data extraction from the selected papers, many challenges were identified in software requirements negotiation.…”

Section: Idmentioning

confidence: 99%

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Software Requirements Negotiation: A Review on Challenges

et al. 2021

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Requirements negotiation involves discussion on the requirements conflict to have some compromise that will satisfy the participating stakeholders of a software project. The output of a requirement negotiation is a set of satisfied requirements of two or more parties. In this paper, we present a systematic review of requirements negotiation challenges. The study adopted 34 papers from the final study selection process which were analyzed based on the requirements negotiation challenges they addressed. The identified challenges are decision-making, communication, performance, managing requirement changes, and conflict resolution. The output of the study indicates that decision-making is addressed by 33% of the studies reviewed, followed by the performance with 22%, conflict resolution with 19%, while 16% focus on stakeholders’ communication, and managing requirements changes has 10%.

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Section: Managing Requirement Changesmentioning

confidence: 99%

Section: Idmentioning

confidence: 99%

Software Requirements Negotiation: A Review on Challenges

et al. 2021

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“…For data providers QoI properties are cost drivers with costs proportionally linked to the level of required QoI. On the consumer side, the value of information (VoI) for market data with certain QoI properties depends on the purpose this information is intended to be used for by each consumer [6]. Thus it is highly subjective and creates complexity when to be adhered for a large number of consumers by a data provider.…”

Section: Background: Financial Data Feedsmentioning

confidence: 99%

Managing the Complexity of Processing Financial Data at Scale - An Experience Report

Frischbier¹,

Paic²,

Echler³

et al. 2019

Complex Systems Design &Amp; Management

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Financial markets are extremely data-driven and regulated. Participants rely on notifications about significant events and background information that meet their requirements regarding timeliness, accuracy, and completeness. As one of Europes leading providers of financial data and regulatory solutions vwd processes a daily average of 18 billion notifications from 500+ data sources for 30 million symbols. Our large-scale geo-distributed systems handle daily peak rates of 1+ million notifications/sec. In this paper we give practical insights about the different types of complexity we face regarding the data we process, the systems we operate, and the regulatory constraints we must comply with. We describe the volume, variety, velocity, and veracity of the data we process, the infrastructure we operate, and the architecture we apply. We illustrate the load patterns created by trading and how the markets' attention to the Brexit vote and similar events stressed our systems.

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“…They also introduce a framework for scoring and ranking information products based on their value attributes. Building on this novel definition, much work has since been proposed to address QoI in networking [28,51,111,164].…”

Section: Related Workmentioning

confidence: 99%

Quality of Information in Mobile Crowdsensing

Restuccia

Ghosh

Bhattacharjee

et al. 2017

ACM Trans. Sen. Netw.

154

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Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of inexpensive yet powerful embedded sensors, such as accelerometer, gyroscope, microphone, and camera. This unique combination has enabled revolutionary applications based on the mobile crowdsensing paradigm, such as real-time road traffic monitoring, air and noise pollution, crime control, and wildlife monitoring, just to name a few. Differently from prior sensing paradigms, humans are now the primary actors of the sensing process, since they become fundamental in retrieving reliable and up-to-date information about the event being monitored. As humans may behave unreliably or maliciously, assessing and guaranteeing Quality of Information (QoI) becomes more important than ever. In this paper, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the current state-of-the-art on the topic. We also outline novel research challenges, along with possible directions of future work. F. Restuccia et al.Not only are today's smartphones ubiquitous devices, they are also equipped with a plethora of embedded multi-modal sensors; integrate wireless communication technologies such as 4G/WiFi Internet connectivity, and possess complex processing capabilities. For example, the cameras on smartphones can be used as video and image sensors [29], the microphone can be used as an acoustic sensor [39,154,206], and the embedded global positioning system (GPS) receiver can be used to gather accurate location information, while gyroscopes, accelerometers, and proximity sensors can be used to extract contextual information about the users, such as driving or walking states [75,122]. Further, additional sensors can be easily interfaced with smartphones via Bluetooth or wired connections, such as temperature, air quality, and humidity [69,168].These technological features, combined with the advanced sensing capability of humans, has spurred a significant amount of research from both academia and industry, which together have proposed over the last 10 years a myriad of applications based on the emerging mobile crowdsensing paradigm 1 . Mobile crowdsensing empowers ordinary citizens (or users 2 ) with the capability to actively monitor various phenomena pertaining to themselves (e.g., health, social connections) or their community (e.g., environment). This rich information or inference about themselves or the community may also be sent back to the participating or other concerned users to improve their life experiences, thus influencing their choices. Real-life applications, which can take advantage of both low-level sensor data and high-level user activities, range from real-time traffic monitoring applications, to environmental pollution monitoring, crime monitoring, and social networking, just to name a few. For a survey on mobile crowdsensin...

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Managing Expectations: Runtime Negotiation of Information Quality Requirements in Event-Based Systems

Cited by 7 publications

References 23 publications

Software Requirements Negotiation: A Review on Challenges

Software Requirements Negotiation: A Review on Challenges

Managing the Complexity of Processing Financial Data at Scale - An Experience Report

Quality of Information in Mobile Crowdsensing

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